JP5912706B2 - Image output apparatus, video output method, and program - Google Patents

Description

  The present invention relates to an image output device for outputting an image.

  2. Description of the Related Art Conventionally, an image output apparatus that outputs an image with an appropriate resolution according to conditions of an output destination device or apparatus has been developed (see Patent Document 1).

  In addition, a video sickness tolerance evaluation apparatus that calculates a numerical value for evaluating a user's resistance to video sickness has been developed (see Patent Document 2).

JP2011-35561A JP2011-83379

  Currently, video content is often broadcast after being worked and confirmed on a broadcast station monitor of about 20 to 30 inches. On the other hand, displays such as televisions in a home viewing environment have become larger, and those exceeding 60 inches have become common in ordinary homes.

  Here, the content on the transmission side and the content on the reception side are naturally the same. In addition, the amount of movement of an object in the content and the amount of movement such as pan / tilt caused by a camera operation are defined by the number of pixels per unit frame. Therefore, the distance that the object in the screen actually moves on the screen increases in proportion to the size of the screen. As a result, the distance that a person follows an object with his / her eyes is larger when the receiving person is watching than when the transmitting person is checking, and it is easy for video sickness to occur. There is. However, a conventional image output device or the like cannot detect that the video to be output is a video sickness image, and cannot reduce the video sickness.

  The image output apparatus according to the first aspect of the present invention includes a video determination condition storage unit that stores one or more video determination conditions that are conditions for determining that a video having two or more images is a video sickness video. Using an image determination condition, it is determined whether or not a target image, which is an image configured using two or more input images, and an input image acquisition unit that acquires two or more input images is a video sickness image. When the target video and the video determination unit determine that the target video is a video sickness video, the video sickness determined in advance for the target video that is two or more images of the target video is reduced. And an image output unit that outputs a target image or a target image processed by the image processing unit.

  With such a configuration, it is possible to detect that the video to be output is a video sickness video and reduce the video sickness.

  Further, in the image output apparatus of the second invention, in contrast to the first invention, the video determination condition is a movement amount condition that is a condition related to a movement amount of a subject included in one video, and the video determination unit includes: The movement amount acquisition means for acquiring the movement amount from the target video and the movement amount acquired by the movement amount acquisition means determine whether or not one or more movement amount conditions are met. Is an image output apparatus including a determination unit that determines that the video is a video sickness video.

  With such a configuration, it can be detected from the amount of movement of the subject in the output video that the video to be output is a video sickness video.

  Further, in the image output device of the third invention, in contrast to the first invention, the video determination condition is a user instruction condition that is a condition related to an instruction from the user, and further includes a reception unit that receives an instruction from the user. The video judging unit judges whether or not the instruction received by the receiving unit matches one or more user instruction conditions, and determines that the target video is a video sick video if they match. An image output device comprising means.

  With such a configuration, it can be detected by an instruction from the user that the video to be output is a video sick video.

  In the image output device of the fourth aspect of the invention, in contrast to the second aspect of the invention, the video judgment condition is a screen size movement amount condition that is a condition relating to the screen size and the movement amount, and the video judgment unit determines the screen size. Screen size information acquisition means for acquiring the screen size information to be displayed, and the determination means is configured such that the screen size information acquired by the screen size information acquisition means and the movement amount acquired by the movement amount acquisition means are one or more screen sizes. It is an image output device that determines whether or not a movement amount condition is met, and if it matches, determines that the target video is a video sickness video.

  With such a configuration, it is possible to detect that the output video is video sickness based on the movement amount of the subject in the output video and the screen size.

  Further, in the image output device of the fifth invention, in contrast to the second invention, the video determination condition is a user distance movement amount condition which is a condition relating to a distance from the screen to the user and a movement amount, and the video determination unit Further includes user distance information acquisition means for detecting a user in front and acquiring user distance information indicating the distance to the user, and the determination means includes the user distance information acquired by the user distance information acquisition means and the movement amount acquisition means. It is an image output device that determines whether or not the acquired movement amount matches one or more user distance movement amount conditions, and determines that the output video is a video sickness video image if they match.

  With such a configuration, it is possible to detect that the output video is a video sick video based on the amount of movement of the subject in the output video and the distance to the user.

  In the image output device of the sixth invention according to any one of the first to fifth inventions, the image processing unit reduces the target image with respect to the target image or a part of the target image. Is an image output device that performs any one of the trimming processes for cutting out the image.

  With such a configuration, video sickness can be reduced by reducing the output image or trimming the image.

  The image output device according to the seventh aspect of the present invention relates to any one of the first to sixth aspects, wherein the video determination condition storage unit is associated with reduction processing information indicating processing for reducing video sickness. The determination condition is stored, and the image processing unit acquires, from the video determination condition storage unit, video processing information corresponding to the video determination condition used when the video determination unit determines that the target video is a video sickness video. An image output apparatus comprising: a reduction processing information acquisition unit that performs the processing indicated by the reduction processing information acquired by the reduction processing information acquisition unit with respect to a target image that is two or more images included in the target video It is.

  With such a configuration, it is possible to reduce the motion sickness by processing the output video according to the characteristics of the video when it is detected that the motion sickness video is detected.

  In the image output device according to the eighth aspect of the present invention, in the first to seventh aspects of the invention, the image output unit performs processing on the first area, which is an area for outputting the target image. When the size of the target image processed by the image processing unit and the image processing unit that outputs the processed target image is smaller than the screen size, the image processing unit is set in the second region that is different from the first region. Is an image output device including other image output means for outputting an image different from the target image subjected to the processing.

  With such a configuration, it is possible to effectively utilize the free space that is generated when the size of the output image is smaller than the screen size.

  Further, in the image output device of the ninth aspect of the invention, in contrast to the eighth aspect of the invention, the other image output means outputs a strobe image configured using the target image in two or more areas obtained by dividing the second area. An image output apparatus for outputting.

  With such a configuration, it is possible to effectively utilize the free space that is generated when the size of the output image is smaller than the screen size.

  The image output apparatus according to the tenth aspect of the present invention further includes a data broadcast receiving unit for receiving data by data broadcast, as compared with the eighth invention, and the other image output means is provided with the data broadcast in the second area. An image output apparatus that outputs data received by a receiving unit.

  With such a configuration, it is possible to effectively utilize the free space that is generated when the size of the output image is smaller than the screen size.

  The eleventh aspect of the present invention is the image output apparatus according to the eighth aspect of the present invention, in which an input video which is a video having two or more images and can be divided into two or more chapters is stored. A video storage unit, the input image acquisition unit sequentially acquires two or more input images of the input video from the input video storage unit, and the other image output unit includes the input image acquisition unit in the second area; Is an image output device that outputs an input image representative of each of two or more chapters of the input video among the two or more input images acquired.

  With such a configuration, it is possible to effectively utilize the free space that is generated when the size of the output image is smaller than the screen size.

  According to the image output apparatus and the like according to the present invention, it is possible to detect that the video to be output is a video sickness image and reduce the motion sickness.

Block diagram of an image output apparatus according to Embodiment 1 A flowchart for explaining the overall operation of the image output apparatus 1 The figure which shows the example of the same picture judgment condition The figure which shows the example of the same picture judgment condition The figure which shows the output example of the output image The figure which shows the output example of the output image The figure which shows the output example of the output image The figure which shows the output example of the output image The figure which shows the output example of the output image The figure which shows the output example of the same output image and other images The figure which shows the output example of the same output image and other images The figure which shows the output example of the same output image and other images The figure which shows the structural example of the image output circuit Overview of the computer system in the above embodiment Block diagram of a computer system in the above embodiment

  Embodiments of an image output apparatus and the like according to the present invention will be described below with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again. In addition, in a storage unit or the like in which predetermined information can be stored, the process in which information is stored in the storage unit does not matter. For example, information may be stored in a storage unit or the like via a recording medium. Information transmitted via a communication line or the like may be stored in a storage unit or the like. Furthermore, information input via the input device may be stored in a storage unit or the like. In addition, the format, content, and the like of each information described in this embodiment are merely examples, and the format, content, and the like are not limited as long as the meaning of each information can be indicated.

(Embodiment 1)
In this embodiment, it is determined whether or not an output video is a video sickness video, and when the video to be video sick is a video sickness, the processing to reduce video sickness to two or more images of the video to be output The image output apparatus 1 that performs the above will be described.

  Note that the image output apparatus 1 in the present embodiment is, for example, a television receiver or a playback device for a recording medium (such as an optical disk or a hard disk).

  FIG. 1 is a block diagram of an image output apparatus 1 according to the present embodiment. The image output apparatus 1 includes an input video storage unit 11, a video determination condition storage unit 12, a data broadcast reception unit 13, an input image acquisition unit 14, a reception unit 15, a video determination unit 16, an image processing unit 17, and an image output unit 18. Prepare. The video determination unit 16 includes a movement amount acquisition unit 161, a screen size information acquisition unit 162, a user distance information acquisition unit 163, and a determination unit 164. The image processing unit 17 includes a reduction processing information acquisition unit 171 and an image processing unit 172. The image output unit 18 includes an image output unit 181 and another image output unit 182.

  The input video storage unit 11 stores an input video that is a video having two or more images. The image is hereinafter referred to as an input image. The data format of the input video is not limited. The input video is preferably a video that can be divided into two or more chapters.

  In the following description, it is needless to say that even when only one video is referred to, it may include reference to two or more images of the video. Needless to say, even when only one image is mentioned, it may include mention of one video having the image.

The video determination condition storage unit 12 stores video determination conditions. The video determination condition is a condition for determining that the video is a video sick video. The video determination conditions are, for example, the following conditions.
(1) Movement amount condition that is a condition relating to the movement amount of a subject included in one video (2) Screen size movement amount condition that is a condition relating to screen size and movement amount (3) User distance and movement amount Condition for user distance movement that is a condition (4) User instruction condition that is a condition for an instruction from a user

  The movement amount is usually a so-called motion vector (vector amount), but may be other scalar amounts. Further, the amount of movement is not limited as long as it can indicate the amount of movement (length, number of pixels, etc.) of the subject. Further, the movement amount may be a movement amount per unit amount such as a unit time or a unit frame. Since the method and procedure for calculating the movement amount from one video are well known, detailed description thereof will be omitted. Moreover, the unit of movement amount is not ask | required. The unit of the movement amount is, for example, “pixel / frame”, “pixel / sec”, “cm / frame”, “cm / sec”, or the like. The instruction from the user is an instruction that the receiving unit 15 described later receives from the user. Details of the instruction will be described later. The screen size is normally the size (dimension) of the screen provided in the image output apparatus 1, but may be the resolution (screen resolution) of the screen. The user distance is a distance from the screen included in the image output apparatus 1 to the user.

  (1) is a condition indicating that the larger the moving amount is, the more the image is motion sick. For example, (1) is “the movement amount is 10 pixels / frame or more”, “the movement amount is 10 pixels / frame or more and less than 20 pixels / frame”, and the like.

  Also, (2) is a condition that indicates that the image gets sicker as the screen size is larger and the movement amount is larger. (2) is, for example, “the screen size is 50 inches or more and the movement amount is 10 pixels / frame or more” or “the screen size is (1920 × 1080) or more and less than (4096 × 2160), In addition, the movement amount is 10 pixels / frame or more and less than 20 pixels / frame ”.

  Further, (3) is a condition indicating that the closer the user distance is, and the larger the moving amount is, the video is motion sick. (3) is, for example, “the distance to the user is less than 3 m and the amount of movement is not less than 10 pixels / frame and less than 20 pixels / frame”, “the distance to the user is not less than 3 m and less than 6 m, and The movement amount is 20 pixels / frame or more. "

  Further, (4) is a condition indicating that the instruction from the user is a predetermined instruction. (4) is, for example, “the instruction from the user is an instruction to notify that the user is intoxicated” or “the instruction from the user is an instruction to notify that the image is intoxicated” “The instruction from the user is an instruction to perform processing to reduce video sickness”.

In addition, the video determination condition may be the following condition, for example.
(5) Screen size user distance movement amount condition that is a condition related to screen size, user distance, and movement amount (6) User instruction screen size condition that is a condition related to instructions from the user and screen size (7) User User instruction user distance condition that is a condition related to an instruction from the user and a user distance (8) User instruction screen size user distance condition that is a condition related to the instruction from the user, the screen size, and the user distance

  Since the conditions (5) to (8) are the same as the above (1) to (4), the description thereof is omitted.

In addition, the video determination condition may be the following condition, for example.
(9) Luminance value change condition that is a condition relating to a change in luminance value (10) Video system condition that is a condition relating to a video expression method

  (9) is a condition that indicates that the video is motion sick when the change (difference) in the luminance value between two or more images included in the video is large and the number of times the change occurs repeatedly. (9) is also a condition for detecting a so-called flushing image. (9) is, for example, “a difference in luminance value between two images is 50 or more and the difference continues for 30 frames or more”. (10) is a condition for detecting so-called 3D video. (10) is, for example, “the video is a 3D video”.

  Further, the video determination condition may include a detection mode condition related to a mode in detecting a video sickness video. The detection mode is, for example, a mode for detecting whether or not the video is automatically motion sick by information that can be acquired from the target image, and whether or not the video is manually motion sick by an instruction from the user. This is a mode for detecting the. The detection mode condition is a condition indicating that the detection mode is a predetermined detection mode. The detection mode condition includes, for example, “the detection mode is an automatic detection mode”, “the detection mode is a manual detection mode”, and the like.

That is, the video determination condition may be a combination of either the movement amount condition or the user instruction condition and the following zero or more conditions.
(A) Screen size condition that is a condition related to screen size (b) User distance condition that is a condition related to user distance (c) Detection mode condition

  Note that the video determination condition may be a program. In this case, the video determination condition is usually embedded in the source code of the program.

  In addition, the video determination condition is usually associated with reduction processing information indicating processing to reduce video sickness (hereinafter, video sickness reduction processing). The video sickness reduction processing includes, for example, reduction processing for reducing an image, trimming processing for cutting out a part of an image, luminance suppression processing for reducing the luminance value of the image, noise reduction processing for reducing noise, and the like. In this process, the reduction ratio during the reduction process, the size of the image after reduction, the trimming ratio during the trimming process, the size of the image after trimming, the range of the trimming, and the suppression during the luminance suppression process The ratio to be performed, the luminance value after suppression, the range of suppression, or the like may or may not be determined in advance.

  The reduction process information includes, for example, an identifier for identifying the reduction process, a program for performing the reduction process, and an identifier of a program for performing the reduction process. The program includes so-called functions.

In the case of indicating a reduction process, the reduction process information may include, for example, a reduction rate at the time of the reduction process, a size of the image after reduction, and the like. The reduction process information is, for example, the following information.
(1) “Reduction: 70%” indicating reduction to a size of 70%
(2) “Reduction processing (0.80)” indicating reduction to a size with a ratio of “0.80”
(3) “Reduction: 1280 × 720” indicating reduction to a size of “1280 × 720”

Further, when the trimming process is indicated, the reduction process information may include, for example, a trimming rate at the time of trimming, a size of an image after trimming, a trimming range, and the like. The trimming range is usually indicated by coordinates on the image, but may be indicated by a condition relating to a feature amount. In this case, the reduction processing information indicates trimming a range that matches the condition related to the feature amount. The reduction process information is, for example, the following information.
(1) “Trimming: 60%, (0, 0)” indicating that trimming is performed from coordinates (0, 0) at a size of 60%.
(2) “Cut: x0.75, (10, 20)” indicating that trimming is performed from the coordinates (10, 20) with a size of “0.75”.
(3) “Trimming ((0, 0), (1280, 720))” indicating trimming from coordinates (0, 0) to coordinates (1280, 720)
(4) “Trimming (movement amount <20 cm / frame)” indicating that the range in which the movement amount is less than “20 cm / frame” is trimmed.

Moreover, when showing a brightness | luminance suppression process, the reduction process information may have the suppression ratio in the case of a brightness | luminance suppression process, the luminance value after suppression, the range of suppression, etc., for example. The reduction process information is, for example, the following information.
(1) “Brightness: 80%” indicating that the brightness of the entire image is 80%
(2) “Luminance processing (0.75)” indicating that the luminance of the entire image is set to a ratio of “0.75”
(3) “Luminance (128, (100, 200), (500, 600)” indicating that the luminance value “128” is set from the coordinate (100, 200) to the coordinate (500, 600).

  The reduction processing information may be a calculation formula for calculating parameters such as the reduction ratio, the trimming ratio, and the suppression ratio. The calculation formula usually includes variables indicating that a movement amount, screen size information, user distance information, and the like are substituted.

  In addition to the reduction process information, the video determination condition may be associated with a reduction process selection condition that is a condition for selecting a video sickness reduction process. The reduction process selection condition is usually a condition related to a feature amount other than the movement amount. The feature amount is information indicating the feature of one video. The feature amount other than the movement amount is, for example, a pixel value, a luminance value, a frequency distribution, a dynamic range, a spatiotemporal correlation, a noise amount, and the like. Further, the reduction process selection condition may include a condition relating to the screen size and the user distance.

  The data broadcast receiving unit 13 receives data by data broadcasting. The data broadcast receiving unit 13 is usually realized by means for receiving a broadcast.

  The input image acquisition unit 14 acquires two or more input images. The acquisition includes reception by broadcasting, reception by communication, reading from a recording medium, and the like. The input image acquisition unit 14 sequentially acquires two or more input images of the input video from the input video storage unit 11. Moreover, the input image acquisition part 14 acquires the input image | video which has two or more input images normally.

  The input image acquisition unit 14 is usually realized by means for receiving broadcasts, means for reading data, and the like.

  The receiving unit 15 receives an instruction from the user. The instruction is, for example, a video sickness notification instruction for notifying that a video sickness is felt, a video sickness video, or a video sickness reduction instruction for performing processing to reduce video sickness. Moreover, the reception part 15 may receive instructions other than these instructions. The instructions other than these instructions include, for example, a power-on instruction, a power-off instruction, a channel change instruction, and a volume increase / decrease instruction. Note that when the receiving unit 15 receives an instruction other than the video sickness notification instruction or the like, the image output apparatus 1 normally performs processing according to the received instruction.

  In addition, reception means reception of information input from an input device such as a so-called remote controller or touch panel, reception of information transmitted via a wired or wireless communication line, a recording medium such as an optical disk, a magnetic disk, or a semiconductor memory This is a concept including reception of information read out from.

  The instruction input means in the receiving unit 15 may be anything such as a so-called remote controller or a menu screen. The receiving unit 15 can be realized by a device driver of input means such as a remote controller, control software for a menu screen, or the like.

  The video determination unit 16 determines whether or not the target video is video sickness using one or more video determination conditions stored in the video determination condition storage unit 12.

  The target video is a video that is a target for determining whether or not the video is motion sick, and is a video that is configured using two or more input images. The “video configured using two or more input images” includes an input video including the two or more input images or two or more output images configured using the two or more input images. Output video. That is, the video determination unit 16 determines whether the input video or the output video is a video sickness video. Note that the target video is normally an output video, but may be an input video. An “output image configured using an input image” is usually an image obtained by performing some processing (hereinafter referred to as output image creation processing) on the input image. The output image creation processing is usually image processing, and includes, for example, higher resolution, noise removal, sharpening, size enlargement, size reduction, and the like. Moreover, the said process should just be able to acquire these effects, and the specific method, procedure, etc. of a process are not ask | required. Further, the content and the number of times of the output image creation process applied to the output image are not limited. For example, the output image may be an image that has been subjected to two or more different output image creation processes, or may be an image that has been subjected to the same output image creation process twice or more.

  As described above, the target video is an input video or an output video. Further, the target video has two or more target images. When the target video is an input video, the target video has two or more input images. When the target video is an output video, the target video has two or more output images.

  The output image is usually created by an output image creation unit (not shown). The output image creation unit normally performs output image creation processing on the input image acquired by the input image acquisition unit 14 to create an output image. In addition, the video determination unit 16 usually makes the determination by means described below.

The movement amount acquisition unit 161 acquires the movement amount from the target video. Here, for example, in two temporally continuous images, the previous image is A (hereinafter referred to as image A), and the subsequent image is referred to as B (hereinafter referred to as image B). In such a case, the movement amount acquisition unit 161 first detects the subject from the image A, for example. The movement amount acquisition unit 161 also detects the same subject from the image B. The subject is, for example, a person, an animal, a plant, or another building. Since the method and procedure for detecting the subject from the image are known, detailed description thereof will be omitted. The subject may be any subject in the image, or may be a predetermined subject. Then, the movement amount acquisition unit 161 superimposes the image A and the image B so that the detected subject matches. Then, the movement amount acquisition unit 161 acquires the shift of the superimposed images as the movement amount of the subject between the two images. The shift may be the number of pixels constituting the image (pixel, pixel), a physical length (centimeter, cm, millimeter, mm), or the like. Further, for example, the shift may be a shift per image as in this example, or may be a shift per image (for example, a frame) of a predetermined unit amount. It may be a deviation per second.
In addition, the movement amount acquisition unit 161 may detect two or more subjects from each image, for example, by the processing as described above. Further, the movement amount acquisition unit 161 may detect one or more subjects from two or more images, for example, by the processing as described above. Further, the movement amount acquisition unit 161 may calculate the movement amount for each of two or more subjects by the process as described above, and acquire the average of the movement amounts.

  Since the method and procedure for acquiring the movement amount are known, other detailed description is omitted. Moreover, it is preferable that the movement amount acquisition unit 161 normally acquires the movement amount from a target video having two or three target images. Further, the movement amount acquisition unit 161 may acquire the movement amount from a target video having four or more target images, for example. Further, it is preferable that the movement amount acquisition unit 161 acquires the movement amount from the output video.

  The screen size information acquisition unit 162 acquires screen size information indicating the screen size. The screen size information is usually stored in an arbitrary storage area or a predetermined storage area. Accordingly, the screen size information acquisition unit 162 acquires the screen size information stored in the storage area.

  The user distance information acquisition unit 163 detects a user located in front of the image output apparatus 1 and acquires user distance information indicating a distance from the screen to the user. The method for measuring the distance is not limited. The distance may be, for example, a distance from the center of the screen to the user, or may be a distance from the end of the screen (regardless of up / down / left / right) to the user. The user distance information acquisition unit 163 acquires user distance information from a device such as a human sensor that detects a person (user) by infrared rays or a distance sensor that measures a distance to an object. In this case, the user distance information acquisition unit 163 may include these devices or may be realized by these devices. Further, the processing procedure of the user distance information acquisition unit 163 is usually realized by software, and the software is recorded in a recording medium such as a ROM.

  The determination unit 164 is one of the one or more video determination conditions stored in the video determination condition storage unit 12 according to the information acquired by any of the above three units or the instruction received by the reception unit 15. Judge whether or not they match. If they match, the determination unit 164 determines that the target video is a video sickness video.

In addition, the determination unit 164 performs the following determination, for example.
(1) Determination of whether or not the movement amount acquired by the movement amount acquisition unit 161 matches the movement amount condition (2) Screen size information acquired by the screen size information acquisition unit 162 and the movement amount acquisition unit 161 (3) The user distance information acquired by the user distance information acquisition unit 163 and the movement amount acquired by the movement amount acquisition unit 161 are the user distance movements. Determination of whether or not the quantity condition is met (4) Determination of whether or not the instruction received by the receiving unit 15 matches the user instruction condition

  For (1), for example, when the movement amount acquired by the movement amount acquisition unit 161 is “50 cm / frame” and the movement amount condition is “movement amount ≧ 45 cm / frame”, the determination unit 164 Is determined to satisfy the movement amount condition.

  For (2), for example, the screen size information acquired by the screen size information acquisition unit 162 is “1920 × 1080”, the movement amount acquired by the movement amount acquisition unit 161 is “15 pixels / frame”, and the screen When the size movement amount condition is “screen size ≧ (1920 × 1080) & movement amount ≧ 10 pixels / frame”, the determination unit 164 determines that the screen size information and the movement amount information match the screen size movement amount condition. to decide.

  For (3), for example, the user distance information acquired by the user distance information acquisition unit 163 is “3 m”, the movement amount acquired by the movement amount acquisition unit 161 is “15 pixels / frame”, and the screen size is changed. When the amount condition is “distance ≦ 5 m & movement amount ≧ 10 pixels / frame”, the determination unit 164 determines that the user distance information and the movement amount information match the user distance movement amount condition.

  Further, regarding (4), when the instruction received by the receiving unit 15 is a video sickness notification instruction and the user instruction condition is “user instruction = (video sickness notification instruction or video sickness reduction instruction)”, the determining unit 164 , It is determined that the instruction from the user matches the instruction condition.

  If each of the above conditions (1) to (4) has a detection mode condition, the determination unit 164 determines whether the detection mode identifier matches the detection mode condition. The detection mode identifier is information for identifying the detection mode. The detection mode is usually stored in an arbitrary storage area or a predetermined storage area. Therefore, the determination unit 164 normally acquires the detection mode identifier stored in the storage area, and determines whether or not the detection mode identifier matches the detection mode condition. For example, when the detection mode identifier is “automatic detection mode” and the detection mode condition is “detection mode = automatic detection”, the determination unit 164 determines that the detection mode identifier matches the detection mode condition.

  When the video determination unit 16 determines that the target video is a video sickness video, the image processing unit 17 performs a predetermined video sickness reduction process on two or more target images of the target video. Apply. The target video determined by the video determination unit 16 and the target video having the target image on which the image processing unit 17 performs the video sickness reduction process may be the same or different.

  The image processing unit 17 may perform, for example, video sickness reduction processing on the target video. In this case, for example, the image processing unit 17 may sequentially perform video sickness reduction processing on each of two or more target images included in the target video, or all of the two or more target images. At the same time, image sickness reduction processing may be performed.

  In addition, the image processing unit 17 may perform, for example, video sickness reduction processing on one target image of two or more target images included in the target video. In this case, for example, the image processing unit 17 performs video sickness reduction processing on one of the two or more target images, such as a first target image, an intermediate target image, and a last target image. .

  Note that the image processing unit 17 usually performs a target video by means described below.

  The reduction processing information acquisition unit 171 acquires, from the video determination condition storage unit 12, video processing information corresponding to the video determination conditions used when the video determination unit 16 determines that the target video is a video sickness video. . The “video determination condition used when it is determined that the target video is a video sickness video” means that the video determination unit 16 determines whether the target video is a video sick video. This is a video determination condition that matches the acquired movement amount, screen size information, user distance information, user instruction, and the like.

For example, the movement amount acquired by the movement amount acquisition unit 161 is “50 cm / frame”.
It is assumed that the video determination condition that the determination unit 164 determines to match the movement amount is “movement amount ≧ 45 cm / frame”. In this case, the reduction processing information acquisition unit 171 acquires the video processing information corresponding to the video determination condition “movement amount ≧ 45 cm / frame” from the video determination condition storage unit 12. For example, in the video determination condition storage unit 12, it is assumed that the video determination condition “movement amount ≧ 45 cm / frame” corresponds to the reduction processing information “reduction: 70%”. In this case, the reduction process information acquisition unit 171 acquires the reduction process information “reduction: 70%”. For example, when the reduction process information is a calculation formula for calculating a parameter, the reduction process information acquisition unit 171 acquires a numerical value corresponding to the variable in the variable included in the calculation formula after acquiring the calculation formula. Substitute and calculate the parameter.

  For example, when the reduction process selection condition corresponds to the video determination condition stored in the video determination condition storage unit 12, the reduction process information acquisition unit 171 acquires the feature amount from the target video, and the feature Reduction process information corresponding to a reduction process selection condition that matches the amount may be acquired. In this case, for example, when the video determination unit 16 first determines that the target video is a video sick video, the reduction processing information acquisition unit 171 acquires a feature amount from the target video. The feature amount is usually a feature amount other than the movement amount. Then, the reduction processing information acquisition unit 171 acquires the video determination condition used when the determination is made. Then, the reduction process information acquisition unit 171 receives, from the video determination condition storage unit 12, the reduction process information corresponding to the reduction process selection condition that matches the acquired feature amount among the reduction process selection conditions corresponding to the video determination condition. get.

  For example, as described above, it is assumed that the video determination condition that the determination unit 164 determines to match the instruction from the user is “user instruction = video sickness notification instruction”. In this case, the reduction process information acquisition unit 171 acquires a reduction process selection condition corresponding to the video determination condition. It is assumed that the reduction process selection condition includes “192 ≦ luminance <200”. Further, it is assumed that the feature amount acquired from the target video by the reduction processing information acquisition unit 171 is the luminance value “196”. In this case, the reduction process information acquisition unit 171 acquires a reduction process selection condition “192 ≦ luminance <200” that matches the luminance value. The reduction process information acquisition unit 171 acquires the reduction process information corresponding to the reduction process selection condition “192 ≦ luminance <200” from the video determination condition storage unit 12.

  That is, when the reduction process selection condition is associated with the video determination condition stored in the video determination condition storage unit 12, the reduction process information acquisition unit 171 causes the video determination unit 16 to detect that the target video is video sick. From the video determination condition storage unit 12, the reduction process information corresponding to the video determination condition used when it is determined to be and the reduction process selection condition that matches the feature amount acquired from the target video is acquired.

  Note that the user normally watches the output video. Accordingly, when the feature amount is acquired from the target video, the detection mode identifier for identifying the manual detection mode is stored in the manual detection mode (in an arbitrary storage area or a predetermined storage area). ), The reduction processing information acquisition unit 171 normally acquires a feature amount from the output video. Further, when the feature amount is acquired from the target video, the detection mode identifier for identifying the automatic detection mode is stored in an automatic detection mode (in an arbitrary storage area or a predetermined storage area). ), The reduction processing information acquisition unit 171 may acquire the feature amount from either the input video or the output video. In this case, which of the input video and the output video the feature quantity is acquired from is usually determined in advance, but this need not be the case. Note that the method and procedure for acquiring the feature amount from the video are well known, and thus detailed description thereof is omitted.

  The image processing unit 172 performs processing indicated by the reduction processing information acquired by the reduction processing information acquisition unit 171 on the target image that is two or more images included in the target video. For example, when the reduction processing information acquisition unit 171 acquires the reduction processing information “reduction: 70%”, the image processing unit 172 reduces the target image to a size of 70% according to the reduction processing information. Further, for example, when the reduction process information acquisition unit 171 acquires the reduction process information “trimming ((0, 0), (1280, 720))”, the image processing unit 172 follows the reduction process information to determine the target image. Trimming from coordinates (0, 0) to coordinates (1280, 720). Further, for example, when the reduction processing information acquisition unit 171 acquires the reduction processing information “luminance (128, (100, 200), (500, 600)”, the image processing unit 172 follows the reduction processing information according to the target image. The luminance from the coordinates (100, 200) to the coordinates (500, 600) is set to “128.” Note that the image processing means 172 performs video sickness reduction processing on two or more output images of the output video. Is preferably applied.

  Further, the video sickness reduction process performed on the target image by the image processing unit 172 may be determined in advance. In this case, the image processing unit 172 performs a predetermined video sickness reduction process using the parameters acquired by the reduction process information acquisition unit 171.

  The image output unit 18 outputs the target image or the target image on which the image processing unit 17 has performed the video sickness reduction process. The output here is a concept including display on a display, projection using a projector, transmission to an external device, storage in a recording medium, delivery of a processing result to another processing device or another program, etc. It is. In addition, regarding transmission, accumulation, and delivery of processing results, an output target is finally presented to the user. Note that the image output unit 18 normally outputs a target image or the like by means described later.

  The image output unit 181 outputs the target image. “To output the target image” means that the input image acquired by the input image acquisition unit 14 is output as it is without performing the output image generation process, or the input image acquired by the input image acquisition unit 14 Is to output an output image subjected to the output image generation processing. The image output means 181 normally outputs an output image. The image output means 181 normally outputs the target image to the entire area of the screen provided in the image output apparatus 1 (full screen).

  Further, the image output unit 181 outputs the target image on which the image processing unit 17 has performed the video sickness reduction process. “Output the target image subjected to the video sickness reduction process” means that the image obtained by performing the video sickness reduction process on the input image acquired by the input image acquisition unit 14 is output, or the output image To output an image sickness reduction process. The image output means 181 normally outputs an output image that has undergone video sickness reduction processing. In addition, the image output unit 181 normally outputs the target image to a first region that is a region for outputting the target image, out of all the regions of the screen included in the image output device 1.

  The size of the first region is usually smaller than the entire region, but may be the same. In addition, the size of the first region is usually the same as the size of the target image subjected to the video sickness reduction process. In other words, the size of the first region follows the size of the target image that has undergone the video sickness reduction process. In addition, the position of the first region may or may not be determined in advance. In the latter case, the position of the first region may be determined (calculated) from the size of the screen and the size of the target image subjected to the video sickness reduction process. There is no limitation on the determination method or procedure.

  The other image output means 182 is configured to apply the image processing to the second area, which is an area different from the first area, when the size of the target image subjected to the image sickness reduction process by the image processing unit 17 is smaller than the screen size. An image different from the target image processed by the unit (hereinafter referred to as another image) is output. That is, the other image output unit 182 outputs the other image to the second area when the size of the image output by the image output unit 181 is smaller than the screen size.

  The other image is, for example, a strobe image, data by data broadcasting, an image representing two or more chapters included in the input video, and the like. The strobe image is one or more output images output in the past that are temporally continuous to the target image output by the image output unit 181. Further, data by data broadcasting is data received by the data broadcasting receiving unit 13. An image representing each chapter is usually the first input image in time among two or more input images of each chapter.

  Note that the input video storage unit 11 and the video determination condition storage unit 12 are preferably non-volatile recording media, but can also be realized by volatile recording media.

  In addition, the video determination unit 16, the movement amount acquisition unit 161, the screen size information acquisition unit 162, the determination unit 164, the image processing unit 17, the reduction processing information acquisition unit 171, and the image processing unit 172 are usually realized by an MPU, a memory, or the like. Can be done. The processing procedure of the video determination unit 16 and the like is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The image output unit 18, the image output unit 181, and the other image output unit 182 may or may not include an output device such as a display. The image output unit 18 or the like can be realized by output device driver software, or output device driver software and an output device.

  Next, the overall operation of the image output apparatus 1 will be described using the flowchart of FIG. Note that the i-th information in the predetermined information is described as “information [i]”. In the flowchart of FIG. 2, it is assumed that the video determination condition storage unit 12 stores m video determination conditions. Further, it is assumed that each video determination condition is associated with reduction processing information.

  (Step S201) The input image acquisition unit 14 determines whether two or more input images are stored in the input video storage unit 11. If stored, the process proceeds to step S202. Otherwise, the process proceeds to step S218.

  (Step S <b> 202) The input image acquisition unit 14 acquires two or more input images from the input video storage unit 11.

  (Step S203) The output image creation unit performs output image creation processing on the two or more input images acquired in step S202 to create two or more output images. The output image creation unit configures an output video using the two or more output images.

  (Step S204) The video determination unit 16 acquires a detection mode identifier stored in an arbitrary storage area. Then, the video determination unit 16 determines whether the detection mode is the automatic detection mode using the detection mode identifier. If it is in the automatic detection mode, the process proceeds to step S205, and if not, the process proceeds to step S208.

  (Step S205) The movement amount acquisition unit 161 acquires the movement amount from the output video.

  (Step S206) The screen size information acquisition unit 162 acquires screen size information stored in an arbitrary storage area.

  (Step S207) The user distance information acquisition unit 163 acquires user distance information.

  (Step S208) The receiving unit 15 determines whether or not an instruction from the user has been received. If accepted, the process proceeds to step S209, and if not, the process returns to step S208.

  (Step S209) The determination unit 164 acquires the user instruction received in Step S208.

  (Step S210) The judging means 164 sets 1 to the counter i.

  (Step S211) The determination unit 164 has one or more of the movement amount acquired in Step S205, the screen size information acquired in Step S206, the user distance information acquired in Step S207, and the user instruction acquired in Step S209. Then, it is determined whether or not the video determination condition [i] stored in the video determination condition storage unit 12 is met. If they match, the process proceeds to step S214, and if not, the process proceeds to step S212.

  (Step S212) The determination means 164 determines whether i is m. When it is m, it returns to step S201, and when that is not right, it progresses to step S213.

  (Step S213) The determination means 164 increments i by 1 and returns to Step 211.

  (Step S214) The reduction process information acquisition unit 171 acquires the reduction process information [i] corresponding to the video determination condition [i].

  (Step S215) The image processing means 172 performs video sickness reduction processing on the output image according to the reduction processing information [i] acquired in step S214.

  (Step S216) The image output means 181 outputs the output image that has been subjected to the video sickness reduction process in step S215.

  (Step S217) The other image output means 182 determines whether or not the size of the image output in step S216 is smaller than the screen size. If it is smaller, the process proceeds to step S218. If not, the process returns to step S201.

  (Step S218) The other image output means 182 outputs another image.

  (Step S219) The data broadcast receiving unit 13 determines whether data broadcast data has been received. If received, the process proceeds to step S220, and if not, the process returns to step S201.

  (Step S220) The data broadcast receiving unit 13 accumulates the data received in step S219 in an arbitrary storage area.

  In the flowchart of FIG. 2, the process may be terminated by powering off or a process termination interrupt.

(Concrete example)
Next, a specific example of the operation of the image output apparatus 1 will be described. In this specific example, it is assumed that the image output apparatus 1 is a television receiver (hereinafter referred to as a television). The screen size of the television is “55 inches”, and the screen size information is stored in an arbitrary storage area.

(Example 1)
In this example, it is assumed that the video determination condition storage unit 12 stores the video determination conditions shown in FIG. The video determination condition (item name: condition) is associated with an ID (item name: ID) for uniquely identifying a record and reduction processing information (item name: reduction processing).

  First, it is assumed that the user operates the remote controller to turn on the TV. Then, an image receiving unit (not shown) starts receiving the input image and sequentially stores it in the input video storage unit 11. Then, the output image creation unit sequentially acquires the input images stored in the input video storage unit 11, performs an output image creation process on the input images, and creates an output image. Then, the image output means 181 sequentially outputs the output images. The situation at this time is, for example, FIG.

  Next, the movement amount acquisition unit 161 acquires the movement amount from the output video having two or more images output from the image output unit 181. Here, it is assumed that the movement amount acquisition unit 161 detects, for example, a vehicle as a subject in the output image (output video) of FIG. 5 and calculates the movement amount of the vehicle. Then, it is assumed that the movement amount acquisition unit 161 acquires the movement amount “45 cm / frame” of the vehicle.

  Next, the screen size information acquisition unit 162 acquires the screen size information “55 inch” stored in an arbitrary storage area.

  Next, it is assumed that the user distance information acquisition unit 163 acquires user distance information and acquires user distance information “5 m”.

  Next, the determination unit 164 includes the movement amount “45 cm / frame” acquired by the movement amount acquisition unit 161, the screen size information “55 inch” acquired by the screen size information acquisition unit 162, and the user acquired by the user distance information acquisition unit 163. Of the distance information “5 m”, it is determined that the movement amount and the screen size information match the video determination condition of “ID = 013” in FIG. As described above, the video determination unit 16 detects that the output video being output by the image output unit 181 is a video sick video.

  Next, the reduction processing information acquisition unit 171 determines that the reduction processing information “reduction (60%) corresponding to the video determination condition of“ ID = 013 ”in FIG. 3 determined by the determination unit 164 that the movement amount matches the screen size information. ) ”. The reduction processing information indicates that the image size is reduced to 60%.

  Next, the image processing unit 172 reduces the size of the output video being output by the image output unit 181 to 60% in accordance with the reduction processing information “reduction (60%)” acquired by the reduction processing information acquisition unit 171.

  Next, the image output unit 181 outputs the output image reduced by the image processing unit 172. The situation at this time is, for example, FIG.

(Example 2)
In this example, it is assumed that the video determination condition storage unit 12 stores the video determination conditions shown in FIG. The video judgment condition (item name: judgment condition) includes an ID (item name: ID) for uniquely identifying a record, a reduction process selection condition (item name: selection condition), and reduction process information (item name: item name: Reduction process).

  First, as in the first specific example, it is assumed that the image output unit 181 sequentially outputs output images as shown in FIG.

  Next, as in the first specific example, the movement amount acquisition unit 161, the screen size information acquisition unit 162, and the user distance information acquisition unit 163, from the output video, respectively, move amount, screen size information, and user distance information. It is assumed that the movement amount “360 pixels / sec”, the screen size information “55 inches”, and the user distance information “6 m” are acquired.

  Next, the determination unit 164 includes the movement amount “360 pixels / sec” acquired by the movement amount acquisition unit 161, the screen size information “55 inches” acquired by the screen size information acquisition unit 162, and the user acquired by the user distance information acquisition unit 163. Of the distance information “6 m”, it is determined that the movement amount and the user distance information match “ID = 016” in FIG. 4. As described above, the video determination unit 16 detects that the output video being output by the image output unit 181 is a video sick video.

  Next, the reduction processing information acquisition unit 171 acquires the feature amount from the output video from which the movement amount acquisition unit 161 or the like has acquired the movement amount, for example, acquires the luminance value “204” of the entire output video. To do.

  Next, the reduction processing information acquisition unit 171 corresponds to the video determination condition of “ID = 016” in FIG. 4 determined by the determination unit 164 that the movement amount matches the user distance information, and the acquired luminance value “204”. The reduction processing information “trimming (luminance value <200)” of “ID = 016” corresponding to the selection condition “200 ≦ luminance value <208” that matches is acquired. The reduction process information indicates that the range in which the luminance value is “less than 200” is trimmed from the image.

  Next, in accordance with the reduction processing information “trimming (luminance value <200)” acquired by the reduction processing information acquisition unit 171, the image processing unit 172 has a luminance value “less than 192” from the output video being output by the image output unit 181. Trim a range that is.

  Next, the image output unit 181 outputs the output image trimmed by the image processing unit 172. The situation at this time is, for example, FIG.

(Example 3)
In this example, it is assumed that the video determination condition storage unit 12 stores the video determination conditions shown in FIG.

  First, similarly to the specific example 1 and the specific example 2, it is assumed that the image output unit 181 sequentially outputs output images as shown in FIGS. At this time, the detection mode of the television is assumed to be a manual detection mode.

  Next, it is assumed that the user feels video sickness while operating the video as shown in FIGS. 5 and 7, operates the remote control, and notifies the television that the video sickness has occurred. At this time, for example, the remote controller is provided with a button for notifying video sickness and the user presses the button to notify the television of video sickness. Then, the reception unit 15 receives a video sickness notification instruction.

  Next, the determination unit 164 determines that the video sickness notification instruction received by the reception unit 15 matches “ID = 019” in FIG. 3. As described above, the video determination unit 16 detects that the output video being output by the image output unit 181 is a video sick video.

  The subsequent processing for obtaining the reduction process information is the same as in specific example 1 and specific example 2, and will not be described.

(Example 4)
First, as shown in FIG. 9, it is assumed that the image output unit 181 outputs an output image on which the reduction process has been performed. In FIG. 9, the size of the output image is smaller than the screen size and there is an empty area (black area in FIG. 9). This area is the second area.

  Next, the other image output means 182 outputs the other image to the second area of FIG. For example, when outputting a strobe image, the other image output unit 182 outputs a strobe image, which is one or more output images output in the past that are temporally continuous, to the second region. The state at this time is, for example, FIG.

  For example, when outputting data by data broadcasting, the other image output unit 182 acquires data received by the data broadcast receiving unit 13 and stored in an arbitrary storage area from the arbitrary storage area. Then, the other image output unit 182 outputs the acquired data to the second area. The state at this time is, for example, FIG.

  For example, when the input video having the input images sequentially acquired from the input video storage unit 11 by the input image acquisition unit 14 has two or more chapters, the other image output unit 182 Among the two or more input images included in the image, the first input image in time is acquired. Then, the other image output means 182 outputs the first input image acquired for each chapter to the second area. The situation at this time is, for example, FIG.

(Example 5)
FIG. 13 shows an example of the image output circuit 2 in which the image output apparatus 1 is configured by a circuit. The image output circuit 2 acquires a motion vector from the input video, determines whether the input video is a video sick video using the motion vector, and if the video is a video sick video, On the other hand, video sickness reduction processing is performed, and the video is output to, for example, a circuit that outputs video.

  13, the image output circuit 2 includes a motion vector detection circuit 201, a motion amount determination circuit 202, a magnification calculation circuit 203, a scaler / trimming circuit 204, a sub-screen generation circuit 205, and a screen synthesis circuit 206.

  The motion vector detection circuit 201 corresponds to the movement amount acquisition unit 161. The motion amount determination circuit 202 corresponds to the video determination condition storage unit 12 and the determination unit 164. The magnification calculation circuit 203 corresponds to the video determination condition storage unit 12 and the reduction processing information acquisition unit 171. The scaler / trimming circuit 204 corresponds to the image processing unit 172. The child screen generation circuit 205 corresponds to the other image output unit 182. The screen composition circuit 206 corresponds to the image output unit 181 and the other image output unit 182. Note that the video determination condition storage unit 12 may be a storage circuit such as a memory (not shown), for example.

  First, an input video signal that is a signal obtained by converting the input video is input to the motion vector detection circuit 201. At the same time, the input video signal is also input to the scaler / trimming circuit 204 and the sub-screen generation circuit 205.

  Next, when the input video signal is input, the motion vector detection circuit 201 acquires the input video from the input video signal and acquires the motion vector of the input video. Then, the motion vector detection circuit 201 outputs the acquired motion vector to the motion amount determination circuit 202.

  Next, when a motion vector is input, the motion amount determination circuit 202 determines whether or not the motion amount indicated by the motion vector matches a video determination condition. The video determination conditions are stored in a storage circuit different from the motion amount determination circuit 202, for example. If the motion vector matches the video determination condition, the motion amount determination circuit 202 outputs the motion vector to the magnification calculation circuit 203.

  Next, when a motion vector is input, the magnification calculation circuit 203 calculates a magnification for reducing or trimming the image from the motion vector. The magnification calculation circuit 203 calculates the magnification using, for example, the reduction process information. In this case, the reduction processing information is usually a calculation formula for calculating a magnification for reducing or trimming an image from a motion vector. The calculation formula is stored in a storage circuit different from the magnification calculation circuit 203, for example. Then, the magnification calculation circuit 203 outputs the calculated magnification to the scaler / trimming circuit 204.

  Next, when the magnification is input, the scaler / trimming circuit 204 acquires the input video from the input video signal that has been input, and reduces or trims each of two or more input images of the input video according to the magnification. . Then, the scaler / trimming circuit 204 sequentially outputs the reduced or trimmed input images (hereinafter, processed images) to the screen synthesis circuit 206.

  Next, the sub-screen generation circuit 205 acquires an input video from the input video signal that has been input, and generates an image to be output to the second area (hereinafter referred to as a sub-image) from two or more images of the input video. To do. Then, the child screen generation circuit 205 sequentially outputs the generated child images to the screen composition circuit 206.

  Next, when the processed image and the child image are input, the screen synthesis circuit 206 synthesizes the two images and generates an image to be output (hereinafter, an output image). The composition means that the two images are arranged in one image so that the processed image is output to the first region and the child image is output to the second region. Then, the screen synthesis circuit 206 outputs the generated output image to, for example, a video output circuit.

  In this example, the motion vector detection circuit 201, the scaler / trimming circuit 204, and the sub-screen generation circuit 205 may receive an output signal obtained by converting the output video signal. Needless to say, descriptions of known processing methods and procedures in so-called digital circuits and analog circuits are omitted.

  As described above, according to the image output device 1 according to the present embodiment, it is possible to detect that the video to be output is a video sickness video and reduce the video sickness.

  Further, according to the image output apparatus 1 according to the present embodiment, the fact that the output video is video sickness is detected by the movement amount of the subject in the output video, the screen size, the distance to the user, and the like. be able to.

  Further, according to the image output apparatus 1 according to the present embodiment, video sickness can be reduced by processing such as reduction of an output image or trimming of an image.

  Further, according to the image output apparatus 1 according to the present embodiment, it is possible to effectively utilize the free space that is generated when the size of the output image is smaller than the screen size.

  Further, in each of the above embodiments, it goes without saying that two or more communication units existing in one apparatus may be physically realized by one medium.

  In each of the above embodiments, each process or each function may be realized by centralized processing by a single device or a single system, or distributed by a plurality of devices or a plurality of systems. It may be realized by being processed.

  In each of the above embodiments, each component may be configured by dedicated hardware, or a component that can be realized by software may be realized by executing a program. For example, each component can be realized by a program execution unit such as a CPU reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

  Moreover, the software which implement | achieves the image output apparatus in each said embodiment is the following programs, for example. That is, in this program, one or more video determination conditions, which are conditions for determining that a video having two or more images is a video sick video, are stored in the recording medium. An input image acquisition unit that acquires the input image and a target video that is a video configured by using the two or more input images are determined using the video determination condition. When the video determination unit and the video determination unit determine that the target video is a video sickness video, a video sickness determined in advance for a target image that is two or more images of the target video is obtained. It is a program for functioning as an image processing unit that performs a reduction process and an image output unit that outputs the target image or a target image processed by the image processing unit.

  Note that the program does not include at least processing that is performed only by hardware.

The program may be executed by being downloaded from a server or the like, or a program recorded on a predetermined recording medium (for example, an optical disk such as a CD-ROM, a magnetic disk, a semiconductor memory, or the like) is read out. May be executed. Further, this program may be used as a program constituting a program product.
Moreover, the computer which performs the said program may be single, and plural may be sufficient as it. That is, centralized processing may be performed, or distributed processing may be performed.

  FIG. 14 is a schematic diagram of the computer system 9 that executes the above-described program to realize the image output apparatus and the like of the above-described embodiment. The above-described embodiments can be realized by computer hardware and a computer program executed thereon.

  In FIG. 14, the computer system 9 includes a computer 901 including a CD-ROM (Compact Disk Read Only Memory) drive 9011, an FD (Flexible Disk) drive 9012, a keyboard 902, a mouse 903, and a monitor 904.

  FIG. 15 is a block diagram of the computer system 9. In FIG. 15, in addition to a CD-ROM drive 9011 and an FD drive 9012, a computer 901 includes a CPU (Central Processing Unit) 9013 and a ROM (Read-Only Memory) 9014 for storing a program such as a boot-up program. A random access memory (RAM) 9015 connected to the CPU 9013 for temporarily storing application program instructions and providing a temporary storage space; and a hard disk 9016 for storing application programs, system programs, and data , A CD-ROM drive 9011, an FD drive 9012, a CPU 9013, and the like. Although not shown here, the computer 901 may further include a network card that provides connection to a LAN.

  A program for causing the computer system 9 to execute the functions of the image output apparatus and the like of the above-described embodiment is stored in the CD-ROM 9101 or FD 9102, inserted into the CD-ROM drive 9011 or FD drive 9012, and further the hard disk 9016. May be forwarded to. Alternatively, the program may be transmitted to the computer 901 via a network (not shown) and stored in the hard disk 9016. The program is loaded into the RAM 9015 when executed. The program may be loaded directly from the CD-ROM 9101, the FD 9102, or the network.

  The program does not necessarily include an operating system (OS) or a third-party program that causes the computer 901 to execute the functions of the image output apparatus according to the above-described embodiment. The program only needs to include an instruction portion that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 9 operates is well known and will not be described in detail.

  The present invention is not limited to the above-described embodiments, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, the image output apparatus according to the present invention has an effect of detecting video sickness and reducing the video sickness, and is useful as a television receiver or the like.

DESCRIPTION OF SYMBOLS 1 Image output device 11 Input video storage part 12 Video judgment condition storage part 13 Data broadcast receiving part 14 Input image acquisition part 15 Reception part 16 Video judgment part 17 Image processing part 18 Image output part 161 Movement amount acquisition means 162 Screen size information acquisition Means 163 User distance information acquisition means 164 Judgment means 171 Reduction processing information acquisition means 172 Image processing means 181 Image output means 182 Other image output means

Claims (11)

Video stored in association with reduction processing information indicating processing for reducing video sickness, each of two or more video determination conditions , which are conditions for determining that a video having two or more images is video sick. A judgment condition storage unit;
An input image acquisition unit for acquiring two or more input images;
A video determination unit that determines whether or not a target video that is a video configured using the two or more input images is a video sick video, using the video determination condition;
When the video determination unit determines that the target video is a video sickness video, it performs a process of reducing video sickness determined in advance for the target image that is two or more images of the target video. An image processing unit;
An image output unit that outputs the target image or the target image processed by the image processing unit ,
The image processing unit
Reduction processing information acquisition means for selecting, from the video determination condition storage unit, reduction processing information corresponding to the video determination condition used when the video determination unit determines that the target video is a video sickness image;
An image output apparatus comprising: an image processing unit that performs processing indicated by the reduction processing information selected by the reduction processing information acquisition unit on a target image that is two or more images included in the target video . A video determination condition storage unit that stores two or more video determination conditions that are conditions for determining that a video having two or more images is a video sickness video;
An input image acquisition unit for acquiring two or more input images;
A video determination unit that determines whether or not a target video that is a video configured using the two or more input images is a video sick video, using the video determination condition;
When the video determination unit determines that the target video is a video sickness video, it performs a process of reducing video sickness determined in advance for the target image that is two or more images of the target video. An image processing unit;
An image output unit that outputs the target image or the target image processed by the image processing unit,
The video determination condition has a detection mode condition related to a mode when detecting a video sickness image,
The mode is an automatic detection mode that is a mode for detecting whether or not the video is automatically sick based on information that can be acquired from the target image, or whether or not the video is a video sickness based on an instruction from the user. Including manual detection mode,
The two or more video determination condition includes a user instruction condition is a condition relating to an instruction from the user,
It further includes a reception unit that receives instructions from the user,
The video determination unit
An image provided with determination means for determining that the target video is a video sick video when the detection mode condition is a manual detection mode and an instruction received by the receiving unit matches the user instruction condition. Output device. The image processing unit
The image output apparatus according to claim 1 , wherein the target image is subjected to either a reduction process for reducing the target image or a trimming process for cutting out a part of the target image. The image output unit includes:
Image output means for outputting a target image processed by the image processing unit to a first region which is a region for outputting the target image;
When the size of the target image processed by the image processing unit is smaller than the screen size, the target image processed by the image processing unit in a second region that is different from the first region the image output apparatus according to any one claims 1 to 3, comprising an other image output means for outputting different images. The other image output means includes
The image output apparatus according to claim 4 , wherein a strobe image configured using the target image is output to two or more areas obtained by dividing the second area. A data broadcast receiving unit for receiving data by data broadcasting;
The other image output means includes
The image output device according to claim 4 , wherein data received by the data broadcast receiving unit is output to the second area. An input video storage unit for storing an input video that is a video having two or more images and that can be divided into two or more chapters;
The input image acquisition unit
Each of the two or more input images of the input video is sequentially acquired from the input video storage unit,
The other image output means includes
The image output device according to claim 4 , wherein an input image representing two or more chapters of the input video among the two or more input images acquired by the input image acquisition unit is output to the second region. On the recording medium,
Each of two or more video determination conditions , which are conditions for determining that a video having two or more images is a video sickness video, is stored in association with the reduction processing information indicating the processing to reduce video sickness. ,
An image output method performed using an input image acquisition unit, a video determination unit, an image processing unit, and an image output unit,
The input image acquisition unit
An input image acquisition step of acquiring two or more input images;
The video determination unit
A video determination step of determining whether or not a target video that is a video configured using the two or more input images is a video sick video, using the video determination condition;
The image processing unit
When the video determination unit determines that the target video is a video sickness video, it performs a process of reducing video sickness determined in advance for the target image that is two or more images of the target video. An image processing step;
The image output unit
An image output step of outputting the target image or the target image processed by the image processing unit ,
The image processing step includes
A reduction processing information acquisition sub-step for selecting, from the recording medium , reduction processing information corresponding to a video determination condition used when the target video is determined to be video sickness in the video determination step;
An image output method comprising: an image processing substep for performing processing indicated by the reduction processing information selected in the reduction processing information acquisition substep on a target image that is two or more images included in the target video . The recording medium is
2 or more of each image determination condition image having two or more images is a condition for determining that the image to be motion sickness is 2 or more images in association with the reduction processing information indicating a processing for reducing motion sickness A video determination condition storage unit that stores two or more video determination conditions that are conditions for determining that a video having an image is a video sickness image,
An image output method performed using an input image acquisition unit, a video determination unit, an image processing unit, an image output unit, and a reception unit,
The input image acquisition unit
An input image acquisition step of acquiring two or more input images;
The video determination unit
A video determination step of determining whether or not a target video that is a video configured using the two or more input images is a video sick video, using the video determination condition;
The image processing unit
When the video determination unit determines that the target video is a video sickness video, it performs a process of reducing video sickness determined in advance for the target image that is two or more images of the target video. An image processing step;
The image output unit
An image output step of outputting the target image or the target image processed by the image processing unit,
The video determination condition has a detection mode condition related to a mode when detecting a video sickness image,
The mode is an automatic detection mode that is a mode for detecting whether or not the video is automatically sick based on information that can be acquired from the target image, or whether or not the video is a video sickness based on an instruction from the user. Including manual detection mode,
The two or more video determination conditions include a user instruction condition that is a condition related to an instruction from a user,
The reception unit
A reception step for receiving an instruction from the user;
In the video determination step,
A determination step of determining that the target video is a video sick video when the detection mode condition is a manual detection mode and the instruction received in the reception step matches the user instruction condition; Image output method. On the recording medium,
Each of two or more video determination conditions , which are conditions for determining that a video having two or more images is a video sickness video, is stored in association with the reduction processing information indicating the processing to reduce video sickness. ,
Computer
An input image acquisition unit for acquiring two or more input images;
A video determination unit that determines whether or not a target video that is a video configured using the two or more input images is a video sick video, using the video determination condition;
When the video determination unit determines that the target video is a video sickness video, it performs a process of reducing video sickness determined in advance for the target image that is two or more images of the target video. An image processing unit;
A program for functioning as an image output unit that outputs the target image or the target image processed by the image processing unit ,
The image processing unit
Reduction processing information acquisition means for selecting, from the recording medium, reduction processing information corresponding to the video determination condition used when the video determination unit determines that the target video is video sickness;
An image processing unit that performs processing indicated by the reduction processing information selected by the reduction processing information acquisition unit on a target image that is two or more images included in the target video. Program . The recording medium is
A video determination condition storage unit that stores two or more video determination conditions that are conditions for determining that a video having two or more images is a video sickness video;
Computer
An input image acquisition unit for acquiring two or more input images;
A video determination unit that determines whether or not a target video that is a video configured using the two or more input images is a video sick video, using the video determination condition;
When the video determination unit determines that the target video is a video sickness video, it performs a process of reducing video sickness determined in advance for the target image that is two or more images of the target video. An image processing unit;
Function as an image output unit that outputs the target image or the target image processed by the image processing unit;
The video determination condition has a detection mode condition related to a mode when detecting a video sickness image,
The mode is an automatic detection mode that is a mode for detecting whether or not the video is automatically sick based on information that can be acquired from the target image, or whether or not the video is a video sickness based on an instruction from the user. Including manual detection mode,
The two or more video determination conditions include a user instruction condition that is a condition related to an instruction from a user,
Computer
Further function as a reception unit that accepts instructions from the user,
The video determination unit
When the detection mode condition is the manual detection mode and the instruction received by the reception unit matches the user instruction condition, the computer functions as a function to determine that the target video is a video sickness video. Program to let you.