JP2015203933A - content extraction device and content extraction method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a content extraction device and a content extraction method capable of extracting content following a story or scenario to be obtained by analyzing music, animation and document or the like.SOLUTION: A content extraction device capable of distributing and displaying a plurality of content in accordance with a predetermined rule includes: an input part for inputting the extraction condition information of content such as music, animation and document; a preset data generation part for analyzing the extraction condition information of the content, and for generating preset data from the analysis result; a content extraction part for extracting the content on the basis of the preset data; and a content connection/edition part for connecting the extracted content in accordance with a predetermined sequence.

Description

  The present invention relates to a content extraction apparatus and a content extraction method that allow a user to easily extract desired content from a large amount of content.

  It takes a lot of time to select content according to taste from a large amount of content (images, videos, music, sentence examples, etc.). In addition, it is difficult to narrow down to the specified number as the content is thoughtful, which causes more time.

  In view of this, there is an apparatus that can efficiently extract (search) content desired by a user from a large amount of content displayed by a viewer, a browser, or the like.

  For example, when extracting (searching) an image desired by a user from a large amount of image data, a set of images to be searched based on a predetermined search condition (designation of a key image) input by the user. An image search method for determining (image group) and visually expressing an image to be extracted (searched) has been proposed (see, for example, Patent Document 1).

JP 2004-164331 A

  However, since Patent Document 1 extracts image data based on a feature amount of a search condition (key image) designated by the user, only image data similar to the key image is extracted.

  The present invention has been made in view of the above problems, and provides a content extraction apparatus and a content extraction method capable of extracting content in accordance with stories and scenarios obtained by analyzing extraction conditions for music, moving images, documents, and the like. The purpose is to provide.

  In order to solve the above-mentioned problem, the content extraction device according to claim 1 is a content extraction device that distributes and displays content according to a predetermined rule, the input means for inputting the extraction condition information of the content, Extraction condition information determining means for determining the extraction condition information of the content input by the input means, and preset data for analyzing the extraction condition information determined by the extraction condition information determining means and extracting the content from the analysis result A preset data generation means for generating the content, a content extraction means for extracting the content based on the preset data generated by the preset data generation means, and a content extracted by the content extraction means in a predetermined order Content combining means.

  According to the present invention, content can be extracted along a story or scenario obtained by analyzing predetermined extraction conditions.

2 is a block diagram illustrating an internal configuration of a PC 100. FIG. It is a figure which shows an example of distribution according to the rating information of content. It is a flowchart explaining the flow of the content extraction and combination process in PC100. It is a figure which illustrates the preset data produced | generated and displayed from the analysis result of extraction condition information. It is explanatory drawing which illustrated the case where the content extracted based on the preset data 400 in 1st Embodiment is combined. It is explanatory drawing which illustrated the case where the content to extract is changed with the thickness of the locus | trajectory of preset data. It is explanatory drawing which illustrated the case where the content extracted based on the preset data 600 in 1st Embodiment is combined. It is explanatory drawing which illustrated the case where the number of extraction is displayed with preset data at the time of the content extraction in 1st Embodiment. It is explanatory drawing which illustrated the case where the content was distributed in consideration of the time information of the content in 2nd Embodiment. It is explanatory drawing which illustrated the case where the content extracted based on the preset data 900 in 2nd Embodiment is combined. It is explanatory drawing which illustrated the case where the preset data 1100 in 3rd Embodiment was divided | segmented. It is explanatory drawing which illustrated the case where the content extracted based on the preset data 1100 in 3rd Embodiment is couple | bonded. It is explanatory drawing which illustrated the case where the combined content in 4th Embodiment was edited. It is explanatory drawing which illustrated the case where preset data change (edit) in a 4th embodiment was performed.

[First Embodiment]
Hereinafter, a first embodiment of the present invention will be described in detail with reference to the drawings.
<Configuration of content extraction device>
FIG. 1 is a block diagram schematically showing the configuration of a PC 100 that is an example of a content extraction apparatus according to the first embodiment of the present invention. In the present embodiment, the content extraction device is described as a PC (Personal Computer), but may be a smartphone, a tablet terminal, or the like.

  In the PC 100, a CPU, an input unit, a display unit, a memory, a communication unit, a local I / F, a storage unit, and the like are connected by an internal bus. The CPU is a central processing unit that controls each unit in the PC 100. The input unit is an operation device such as a keyboard, a mouse, or a touch panel. The display unit is a display device such as a liquid crystal monitor. The memory is a storage device such as a RAM or a ROM. The communication unit is an interface for connecting to a network (wired or wireless network), and can transmit and receive content data by performing data communication with other client PCs and servers. The local I / F is an interface used for connection to an external peripheral device or an external storage medium (USB memory, SD card, etc.). The storage unit is a storage device such as a hard disk.

  Next, functions of each software stored in the storage unit will be sequentially described. The storage unit includes, as software, an operating system (not shown) (hereinafter referred to as “OS”), a content storage unit 101, a content display unit 102, an input operation determination unit 103, a content extraction unit 104, and a content combining / editing unit 105. , A content reproduction unit 106, a preset data generation unit 107, and software related to other functions are stored. These software are read into the memory and operate according to the control of the CPU. The content storage unit 101 to the preset data generation unit 107 are collectively referred to as “content extraction application”. Hereinafter, only those related to the present invention will be described.

  The content storage unit 101 is a functional unit that stores content (images, moving images, music, and the like). The content may be stored in an external storage medium connected via a local I / F other than the content storage unit 101 of the PC 100.

  The content display unit 102 is a functional unit that distributes and displays the content managed by the content storage unit 101 according to a predetermined rule.

  The input operation determination unit 103 is a functional unit that determines information input through the input unit and determines what information is input.

  The content extraction unit 104 is a functional unit that extracts content based on preset data described later.

  The content combining / editing unit 105 is a functional unit that combines the content extracted by the content extracting unit 104 in a predetermined order. In addition, it is a functional unit that performs editing such as order change, deletion, and addition on the combined content. The combined content is hereinafter referred to as “combined content”.

  The content playback unit 106 is a functional unit that plays back the combined content combined by the content combining / editing unit 105.

  The preset data generation unit 107 acquires / analyzes extraction condition information (eg, keyword, document, music, video, etc.) input via the input unit, and reproduces the extraction condition information from the analysis result. It is a functional unit that generates a scenario as data. This data is hereinafter referred to as “preset data”.

<Rating information and content distribution according to rating information>
Next, rating information given to content, and content distribution according to the rating information will be described.

  In the present invention, it is assumed that one or more pieces of rating information are assigned in advance to the content. Rating information refers to a significant analog numerical value (actually a numerical value quantized as a digital numerical value) indicating a rating of content based on a certain standard. The rating information is attached to the content itself, or a content list (not shown) for managing the content list is separately stored in the storage unit, and each content and the rating information are managed in association with each other.

  FIG. 2 shows an example in which three contents (contents 1 to 3) are distributed (plotted) according to predetermined rules based on rating information stored respectively. Here, the content is distributed on two-dimensional coordinates in which “dark / bright” is defined on the X axis (horizontal axis) and “sad / fun” is defined on the Y axis (vertical axis).

  In FIG. 2, content 1 is given bright +200 and fun +450, content 2 is given bright +380 and fun +190, and content 3 is given bright -76 and fun -30 as rating information. The rating information is not limited to “dark / bright” or “sad / fun”, but may be other definitions.

<Content extraction and combination>
Next, the flow of content extraction and combination processing in the PC 100 will be described with reference to the flowchart of FIG.

  In step S301, the PC 100 activates a content extraction application in accordance with a user operation.

  In step S302, the content display unit 102 distributes and displays the content stored in the content storage unit 101 in the form illustrated in FIG.

  At this time, the content to be distributed / displayed is selected from the content storage unit 101. For example, one or more arbitrary contents may be selected, or an arbitrary folder may be selected and all contents included in the folder may be displayed.

  When an arbitrary content is not selected by the user, the content set by default or the content in a specific folder is displayed. In addition, axes serving as a reference when content is distributed (for example, in the case of two dimensions, the vertical axis and the horizontal axis) are defined in advance or set by the user.

  In step S <b> 303, the input operation determination unit 103 determines what kind of extraction condition information the information input via the input unit is, and notifies the preset data generation unit 107 of the determination result.

  The extraction condition information is a keyword (including date and time and location), document, music, video, and the like. Keywords, documents, music, and moving images may be used alone or in combination. When the extraction condition information is “keyword”, “time information” for specifying the passage (flow) of time may be specified in addition to the keyword.

  In step S304, the preset data generation unit 107 generates preset data by analyzing the extraction condition information input through the input unit based on the determination result acquired from the input operation determination unit 103, and displays the preset data. If only the preset data is to be displayed, the process is terminated without proceeding to step S305.

  In step S305, the content extraction unit 104 extracts content based on the preset data generated in step S304.

  In step S306, if no content is extracted in step S305 (No in step S306), the content extraction unit 104 returns to step S303.

  In step S306, the content extraction unit 104 proceeds to step S307 when the content is extracted in step S305 (Yes in step S306).

  In step S307, the content combining / editing unit 105 combines the contents extracted in step S305 in a predetermined order to generate combined content.

  In step S308, the content combining / editing unit 105 determines whether there is a request for editing the combined content generated in step S307. If there is a combined content editing request (Yes in step S308), the process proceeds to step S309. If there is no request for editing the combined content (No in step S308), the process ends.

  In step S309, the content combining / editing unit 105 edits the combined content (replacement, deletion, addition of content order) in response to a combined content editing request from the user, and ends this processing. When the combined content is edited, the preset data may be edited together.

  The above is the flow of content extraction and combination processing in the PC 100. Note that the preset generated in step S304 may be stored in a memory, a preset storage unit (not shown), or the like. When the stored preset data is read again and used, preset data close to the extraction condition input in step S303 may be read, or the user may directly specify (select) the preset data. Good.

<Preset data generation and display>
Next, analysis of extraction condition information input by the user, generation and display of preset data will be described with reference to FIG. In FIG. 4, as in FIG. 2, “dark / bright” and “sad / fun” are used as the rating information.

  The preset data 410 shown in FIG. 4A analyzes the input extraction condition information from the viewpoint of “sad / fun”, the horizontal axis is time (T), and the vertical axis is “sad / fun” (Y). This is an example illustrated with coordinate axes.

  On the other hand, the preset data 420 shown in FIG. 4B analyzes the same inputted extraction condition information from the viewpoint of “dark / bright”, the horizontal axis is time (T), and the vertical axis is “dark / bright” ( X) is an example illustrated with coordinate axes.

  The preset data 410 and the preset data 420 having the same time axis are displayed on a two-dimensional coordinate axis in which the horizontal axis is “dark / bright” (X) and the vertical axis is “sad / fun” (Y). This is preset data 400 of (c). This preset data 400 is displayed on the screen of the content extraction application as preset data finally generated.

  In FIG. 4C, the contents 1 to 16 that are in contact with or close to the preset data 400 (trajectory) are further extracted and displayed based on the preset data 400 and the rating information given to each content. Shows the state.

  However, the present invention is not limited to the example shown in FIG. 4C, and only preset data may be displayed as reference information when the user draws a trajectory. Also, a plurality of preset data may be generated and displayed from one piece of extraction condition information, and when the preset data is displayed, the number of extracted contents and the extraction conditions extracted by the preset data are displayed together. It may be.

  Furthermore, the preset data may be stored in a memory or a preset data storage unit (not shown) in the storage unit, read again, and reused. Further, when a plurality of pieces of extraction condition information are input, each preset data may be generated, and preset data obtained by combining these may be generated and displayed (a plurality of types considering the combination).

<Combination of extracted contents>
Next, a case of combining contents extracted based on the preset data 400 described with reference to FIG. 4 will be described with reference to FIG.

  FIG. 5A is an example when the extracted contents are combined in the normal order. From the start point 401 to the end point 402 of the preset data 400 shown in FIG. 4C, content 7 → content 2 → content 3 → content 4 → content 9 → content 10 → content 11 → content 12 → content 13 → Content is combined in the order of content 14 → content 15.

  FIG. 5B is an example when the extracted contents are combined in the reverse order. From the end point 402 to the start point 401 of the preset data 400 shown in FIG. 4C, content 15 → content 14 → content 13 → content 12 → content 11 → content 10 → content 9 → content 4 → content 3 → Content is combined in the order of content 2 → content 7.

  Next, an example of changing content to be extracted by changing the thickness of the trajectory of the preset data 600 with respect to content distributed and displayed on two-dimensional coordinates will be described with reference to FIG.

  In FIGS. 4A to 4C, the case where the thickness of the preset data is uniform has been described. However, the preset data generation unit 107 starts from the start point of the preset data according to the input extraction condition information. The preset data may be generated by varying the thickness of the preset data by analyzing and identifying the path (direction, length), thickness, and speed to the end point.

  6 (a) to 6 (c), the preset data 600, 610, and 620 have different trajectory thicknesses. By doing so, in FIG. 4C and FIG. 6C, the number of contents to be extracted can be changed even if the arrangement of the contents 1 to 16 in contact with or close to the preset data is the same. .

  For example, where a large number of contents are overlapped, the part where the preset data width is drawn is extracted more than the standard thickness, and the part where the preset data is thin is drawn to the standard thickness. Extract less content than

  Also, when the user draws a track with reference to the preset data displayed on the content, the number of content to be extracted changes depending on the stroke pressure (strong / weak) and speed (fast / slow) It can also be made.

  For example, where a lot of content overlaps, the part where the stroke is drawn thicker with the pen pressure increased, more content is extracted than the standard thickness, and the part drawn with the pen pressure weakened. Extracts content less than the standard thickness.

  In addition, a portion where the trajectory is drawn faster extracts less content than the reference speed, and a portion where the trajectory is drawn slower extracts more content than the reference speed.

  FIG. 7 is an example in the case of combining contents extracted based on the preset data 600 described in FIG.

  FIG. 7A is an example when the extracted contents are combined in the normal order. From the start point 601 to the end point 602 of the preset data 600 shown in FIG. 6C, content 7 → content 1 → content 2 → content 3 → content 4 → content 5 → content 9 → content 10 → content 11 → Content is combined in the order of content 12 → content 13 → content 14 → content 15. The content 1 and the content 5 are different from the combined content in FIG.

  FIG. 7B is an example when the extracted contents are combined in the reverse order. From the end point 602 of the preset data 600 shown in FIG. 6C toward the start point 601, content 15 → content 14 → content 13 → content 12 → content 11 → content 10 → content 9 → content 5 → content 4 → Content is combined in the order of content 3 → content 2 → content 1 → content 7. The content 1 and the content 5 are different from the combined content in FIG.

  Next, a case where the number of extractions is displayed together with preset data at the time of content extraction will be described with reference to FIG.

  As illustrated in FIG. 8A, when the contents are distributed in two-dimensional coordinates, the number of extracted contents can be displayed near the pointer 850 while the preset data 800 is drawn.

  Note that the number of extracted contents may be displayed on the preset data other than the preset data (any position on the display screen) as illustrated in FIG. . Further, not only the number of content extractions but also content extraction conditions (for example, content time information) may be displayed.

  Further, after a content is extracted by the preset data 800, when a predetermined content is selected again by a user operation, the number of the content extracted may be displayed. For example, when the content is distributed as shown in FIG. 8A and the preset data 800 is drawn, if the content 9 is selected by the user, the number indicating that the content 9 is extracted to the fifth sheet. “5” is displayed near the pointer 850.

<Playback of combined contents>
Finally, playback of combined content will be described. The content playback unit 106 can play back the combined content generated by the method described above. Playback refers to playback of a photo movie, a photo book, a video or music playlist, and the like. The playback / display time of the extracted content is set when the content extraction unit 104 extracts the content.

  The content extraction unit 104 can variably set the playback / display time for each content according to the width (thick / thin) of the preset data. For example, the part where the preset data width is drawn thickens the time to play and display the content compared to the reference time, and the part where the preset data width is thin shows the content compared to the reference time. The time for playing and displaying can be shortened.

  Also, when the user draws a track with reference to preset data displayed on the content, the playback / display time for each content depends on the stroke pressure (strong / weak) and speed (fast / slow). Can be set variably. For example, the portion where the stroke is drawn thicker with the pen pressure increased, the time to play and display the content is longer than the reference time, and the portion where the stroke is drawn thinner with the pen pressure reduced is the reference time. Compared to, it is possible to shorten the time for reproducing and displaying the content. In addition, the part where the trajectory is drawn quickly shortens the time for playing and displaying the content compared to the reference time, and the part where the trajectory is drawn slowly increases the time for playing and displaying the content compared to the reference time. can do.

  The combined content shown in FIGS. 5 and 7 can be edited (sorted, deleted, added, etc.) by the content combining / editing unit 105 in accordance with a user instruction. Furthermore, the combined content can be processed to create photo movies, photo books, video and music playlists, and the like. In addition to the content combining / editing unit 105 described above, editing of combined content can be realized by any content editing application.

  In the example described above, the preset data is drawn with a single line (drawn with a single stroke). However, the same processing can be performed when the preset data is drawn with an intermittent line (a line such as a blur, a broken line, a dotted line, or a plurality of lines).

  When extraction condition information is input, the extraction condition information may be analyzed, and preset data may be selected from a preset data storage unit (not shown) based on the analysis result.

  As described above, in the present embodiment, content extraction is performed by generating preset data based on extraction condition information (keyword, music, etc.) designated by the user and extracting content along the preset data. Can be easily performed. Further, simply displaying the preset data provides reference information when the user draws a trajectory, and makes it easier for the user to draw a desired trajectory.

[Second Embodiment]
<Content distribution with time information>
Subsequently, a second embodiment of the present invention will be described. In the second embodiment, in addition to the rating information that the content has, time information that the content itself has (for example, information about the shooting date of the photo, information about the creation / update of the content, etc.) can be distributed. It is a feature. Note that the configuration of the content extraction apparatus shown in FIG. 1 and the flow of content extraction / combination processing shown in FIG. 3 are the same as those in the first embodiment, and thus description thereof is omitted.

  FIG. 9 shows an example in which content is distributed in consideration of the time information (photograph date information, etc.) axis of the content itself with respect to a space based on an arbitrary rating axis.

  The content time information is used as filter information when content is extracted. New contents are extracted from old contents sequentially from the start point to the end point of the preset data. Conversely, it is also possible to extract old content from new content sequentially from the start point to the end point of the preset data.

  FIG. 9A is an example in which contents are distributed on two-dimensional coordinates in which “dark / bright” is defined on the X axis (horizontal axis) and “sad / fun” is defined on the Y axis (vertical axis). FIG. 9B shows the content distributed on the three-dimensional coordinates in consideration of the time information of the content itself. In FIG. 9B, the time information of the content is distributed in the first layer, the middle one is distributed in the second layer, and the old one is distributed in the third layer.

  The distribution of content based on time information is divided from the first layer to the third layer in order from the newest to the old one, but it may be distributed in three layers from the oldest to the new one, The time axis layer (Z-axis) may be further divided into details (multilayer). For example, the time axis layer (Z axis) can be classified by year, month, day, and time.

  FIG. 10 is an example in the case of combining contents extracted based on the preset data 900 described in FIG.

  FIG. 10A is an example of a case where the extracted contents are arranged in order and combined in consideration of the time information of the contents. From the start point 901 to the end point 902 of the preset data 900 shown in FIG. 9B, the third layer → second layer → first layer of content information in the time information axis, the third layer content 2 → third layer Content 3 → third layer content 7 → second layer content 7 → second layer content 1 → second layer content 2 → second layer content 3 → second layer content 4 → second layer The contents are combined in the order of content 5 → first layer content 6 → first layer content 5.

  FIG. 10B is an example when the extracted contents are combined in the reverse order in consideration of the time information of the contents. From the end point 902 to the start point 901 of the preset data 900 shown in FIG. 9B, the first layer content 5 → first layer content from the first layer → second layer → third layer of the time information axis of content. 6 → second layer content 5 → second layer content 4 → second layer content 3 → second layer content 2 → second layer content 1 → second layer content 7 → third layer content 7 The contents are combined in the order of the third layer content 3 → the third layer content 2.

  In the present embodiment, in addition to the rating information of the content, it has been described that the time information of the content itself (information about the shooting date of the photograph, information about creation / update of the content, etc.) is taken into account. Application to display length (playback / display time of video and music), content file capacity, file type (file extension), etc. is also possible. Also, some or all of content time information, content playback / display length, content file capacity, and file type (file extension) may be combined.

  As described above, in the present embodiment, combined contents arranged in time order can be created based on the time information of contents without being conscious of the new and old contents (new and old).

[Third Embodiment]
<Setting of content extraction number and extraction ratio>
Subsequently, a third embodiment of the present invention will be described. The third embodiment is characterized in that the number of contents to be extracted based on preset data and the ratio (ratio) of contents to be extracted for each section obtained by dividing the preset data are set. Note that the configuration of the content extraction apparatus shown in FIG. 1 and the flow of content extraction / combination processing shown in FIG. 3 are the same as those in the first embodiment, and thus description thereof is omitted.

  In the present embodiment, when the user gives an instruction to the content extraction application via the input unit provided in the PC 100, the number of contents to be extracted based on the preset data and the dividing points for dividing the preset data into several sections ( Or the number of divisions) and the ratio (ratio) of content extracted from each section.

  For example, it is assumed that a locus of preset data is drawn on two-dimensional coordinates based on extraction condition information. Here, the division point input by the user is displayed on the locus of the preset data in accordance with the user operation. When the user inputs the division number, the division point is displayed at an initial position (for example, at equal intervals) based on the division number, and the position of the division point can be changed thereafter. Next, the user inputs the ratio (ratio) of content to be extracted for each section of the divided preset data. In this way, the user can arbitrarily specify the total number of contents to be extracted and the content ratio to be extracted for each segment of the preset data.

  FIG. 11 shows an example in which three division points (1121, 1122, 1123) are displayed on the preset data 1100 displayed on two-dimensional coordinates, and the preset data is divided into four sections.

  An example of the combined content corresponding to FIG. 11 is shown in FIG. Specifically, when the start point of the preset data 1100 is 1101 and the end point is 1102, the preset data 1100 is the preset data 1111 (start point 1101 to division point 1121), and the preset data 1112 (division point 1121 to division point 1122). ), Preset data 1113 (division point 1122 to division point 1123), and preset data 1114 (division point 1123 to end point 1102).

  Also, in FIG. 12, content is extracted according to the ratio set by the user for each segment of the preset data. In this example, the total number of contents extracted in all sections of the preset data is 10, and a ratio of 1: 3: 3: 3 is set for each section of the preset data 1111 to 1114, respectively.

  By this setting, content 7 (content number 1) from the preset data 1111 section, content 2, content 1, content 3 (content number 3) from the preset data 1112 section, and content 10 from the preset data 1113 section. , Content 11, content 12 (content number 3), and content 13, content 14, content 15 (content number 3) are extracted from the preset data 1114 section. The combined contents shown in FIG. 12 are obtained by combining the extracted contents in order from the start point 1101 to the end point 1102 of the preset data 1100.

  As described above, in the present embodiment, the total number of contents to be extracted and the ratio (or number) of the contents to be extracted for each section of the divided preset data are arbitrarily specified, so that the number of contents to be extracted and each section are extracted. The balance can be adjusted.

  Although the third embodiment has been described above, the present invention is not limited to the above-described embodiment, and can be appropriately changed as follows.

  In the preset data 1113 section, content 4, content 5, content 9, content 10, content 11, and content 12 can be extracted. However, in the above example, content 10, content 11, content 12 (end point of preset data 1113) Content that is closer to) was used as the combined content. However, the present invention is not limited to this, and content closer to the start point of the preset data section (eg, content 4, content 5, content 9) may be extracted, or content that is between the start point and end point of the preset data (Example: content 9, content 10, content 11) may be extracted.

  Although it has been described that the content is extracted according to the ratio set by the user in the divided preset data (preset data 1111 to preset data 1114), the ratio may be equal. Further, the content extraction number may be set for each of the divided preset data. Furthermore, the number of content extractions may be set only for a part (particular section) of the divided preset data.

  Even when content is extracted in accordance with the number and ratio of content extraction set by the user (content extraction restriction), content extraction in which the number of content arranged at the position followed by the preset data is set by the user When the number is less than the number or the ratio, it is sufficient to extract the content that is smaller than the set number or ratio of the extracted contents.

  The division of the preset data is not limited to setting the division point (the length of the preset data) of the preset data, and the preset data may be divided at a predetermined interval. For example, preset time (eg: 1 second) and preset data length (eg: 1 cm) are set in advance, so that the set time (eg: every 1 second) and length (eg: every 1 cm) ), The preset data can be divided.

  In addition, the user divides the preset data by setting a division point for the preset data, and the preset data is set to an arbitrary number (section) at a predetermined interval (time for drawing the preset data or the length of the trajectory). You may implement | achieve combining both dividing | segmenting. Further, the division point of the preset data may be set in advance before drawing the preset data, not after the preset data is drawn.

  In addition to dividing the preset data by dividing the preset data trajectory on the preset data trajectory expressed on multi-dimensional coordinate axes such as 2D and 3D, the preset data trajectory is a straight line from the start point to the end point. You may divide | segment in the state represented. The division of the preset data is not limited to before content extraction, but may be performed after content extraction.

[Fourth Embodiment]
<Change preset data by editing merged content>
Subsequently, a fourth embodiment of the present invention will be described. In the fourth embodiment, a case where preset data is changed by editing combined content will be described. Note that the configuration of the content extraction apparatus shown in FIG. 1 and the flow of content extraction / combination processing shown in FIG. 3 are the same as those in the first embodiment, and thus description thereof is omitted.

  FIG. 13 is an explanatory diagram illustrating a case where the combined content is edited in the fourth embodiment.

  FIG. 13A is a combination of the extracted contents by the preset data 400 shown in FIG. 4, and is the same as FIG. 5A.

  FIG. 13B shows a result of changing (editing) the combined content shown in FIG. Specifically, the content 2, content 3, content 4, content 10, content 11, content 12, content 14, and content 15 are deleted from the combined content in FIG. 13A, and content 1 and content 8 are added. The contents are recombined in the order of content 7 → content 1 → content 9 → content 8 → content 13.

  FIG. 14 is an explanatory diagram exemplifying a case where preset data is changed (edited) in accordance with the change (edit) of combined content in the fourth embodiment.

  The preset data 400 is obtained when FIG. 13A is extracted. On the other hand, the preset data 450 is changed (edited) by the preset data generation unit 107 so that FIG. 13 (b) can be extracted based on the change (edit) of FIG. 13 (a).

  The changed preset data 450 is stored in a memory or a preset data storage unit (not shown) in the storage unit, and can be read out again and reused.

  For convenience of explanation, the preset data 450 is a broken line in FIG. 14, but is actually drawn with a solid line.

  As described above, in the present embodiment, when the preset data is changed (edited) in accordance with the change (edit) of the combined content, the content extraction accuracy by the preset data is increased, and the preset data is reused. In addition, the user can easily extract desired content.

  In addition, this invention is not limited to embodiment mentioned above, In the range which does not deviate from the summary of this invention, it can change suitably.

  In the above-described embodiment, it has been described that all the contents at the position traced by the preset data are extracted. However, only a predetermined type of content (eg, only a photograph) at the position traced by the preset data is extracted. Good.

  When only a predetermined type of content is extracted, only the content may be combined to generate a combined content.

  The content distribution is not limited to two-dimensional coordinates, and may be distributed to one-dimensional coordinates or three-dimensional coordinates.

  The preset data is not limited to a two-dimensional line, and may be a one-dimensional line or a three-dimensional line.

  Although it has been described that the combined content is created by arranging the extracted contents in a predetermined order (eg, the order from the start point to the end point of the preset data), the arrangement order of the contents is changed depending on the type of the extracted contents Combined content may be generated. For example, when a plurality of types of content are extracted in the order of photo 1 → music 1 → photo 2 → photo 3 → music 2 → video 1 → photo 4, music 1 → music 2 → photo 1 → photo 2 → photo 3 → photo. This is a case where combined content arranged for each type of content is generated, such as 4 → video 1.

  In addition to distribution according to rating information, the content may be distributed according to content time information, EXIF information, content file capacity, file type (file extension), and the like.

  Another object of the present invention is to supply a storage medium recording software program codes for realizing the functions of the above-described embodiments to the system or apparatus, and store the system or apparatus computer (or CPU, MPU, etc.) in the storage medium. It can also be achieved by reading the program code and executing the process.

  In this case, the program code itself read from the storage medium realizes the functions of the above-described embodiments, and a computer-readable storage medium storing the program code constitutes the present invention.

  Further, an OS (operating system) or the like running on the computer performs part or all of the actual processing based on an instruction of the program code, and the functions of the above-described embodiments are realized by the processing. You may do it.

  Furthermore, after the program code read from the storage medium is written in the memory of the function expansion board inserted in the computer or the function expansion unit connected to the computer, the function expansion is performed based on the instruction of the program code. In some cases, the CPU or the like provided in the board or the function expansion unit executes part or all of the actual processing, and the above-described embodiment is realized according to the processing.

  In order to supply the program code, for example, a floppy (registered trademark) disk, a hard disk, a magneto-optical disk, an optical disk represented by CD or DVD, a magnetic tape, a nonvolatile memory card, a ROM, or the like is used. Can do. Alternatively, the program code may be downloaded via a network.

100: PC
101: Content storage unit 102: Content display unit 103: Input operation determination unit 104: Content extraction unit 105: Content combination / editing unit 106: Content reproduction unit 107: Preset data generation unit

Claims (24)

A content extraction device that distributes and displays content according to a predetermined rule,
Input means for inputting the extraction condition information of the content;
Extraction condition information determining means for determining extraction condition information of content input by the input means;
Analyzing the extraction condition information determined by the extraction condition information determination means, and preset data generation means for generating preset data for extracting the content from the analysis result;
Content extracting means for extracting the content based on the preset data generated by the preset data generating means;
Content combining means for combining the contents extracted by the content extracting means in a predetermined order;
A content extraction apparatus comprising:   2. The content extraction apparatus according to claim 1, wherein the preset data is obtained by dividing a single line or a combination of a plurality of lines.   3. The content according to claim 1, wherein the predetermined order is an order from a start point to an end point of the preset data, or an order from the end point of the preset data to the start point. Extraction device.   2. The predetermined order is an order from newest to oldest, or from oldest to newest based on time information of the content. 2. The content extraction device according to 2.   5. The content merging unit sets the playback / display time of the content for each content according to the length of the preset data and the width of the preset data, respectively. The content extraction device according to claim 1. A dividing means for dividing the preset into arbitrary sections;
Content extraction restriction setting means for setting the number of contents to be extracted in all sections of the preset data and the extraction ratio of the contents to be extracted for each section of the preset data divided by the dividing means;
6. The content extraction unit according to claim 1, wherein the content extraction unit extracts the content according to the number of content extractions and the content extraction ratio set by the content extraction restriction setting unit. The content extraction device described in 1. A dividing means for dividing the preset into arbitrary sections;
Content extraction restriction setting means for setting the number of extracted contents to be extracted for each preset section divided by the dividing means,
The content extraction unit according to any one of claims 1 to 5, wherein the content extraction unit extracts the content according to the number of content extractions set by the content extraction restriction setting unit. apparatus. When a plurality of types of the content can be extracted by the content extraction unit,
The content extraction apparatus according to claim 1, wherein the content extraction unit extracts the content of a predetermined type.   9. The content according to claim 8, wherein the content combining unit combines the predetermined types of content extracted by the content extracting unit, and further combines the combined content for each of the predetermined types. Extraction device.   The content extraction device according to any one of claims 1 to 9, wherein the content extraction unit displays the number of content being extracted and / or a content extraction condition. Preset data storage means for storing the preset data generated by the preset data generation means;
Preset data editing means for editing the preset data generated by the preset data generating means or the preset data stored in the preset data storage means;
The content extraction apparatus according to claim 1, further comprising: A combined content editing unit capable of editing the content combined by the content combining unit;
The preset data editing unit edits the preset data used when the content is extracted or newly generates preset data so that the content edited by the content editing unit can be extracted. Item 12. The content extraction device according to Item 11. A content extraction method of a content extraction device for distributing and displaying content according to a predetermined rule,
An input step of inputting the extraction condition information of the content by an input means;
An extraction condition information analyzing step of analyzing the extraction condition information of the content input by the input step by the extraction condition information analyzing means;
A preset data generation step for generating preset data for extracting the content from the analysis result of the extraction condition information analyzed in the extraction condition information analysis step by a preset data generation unit;
A content extraction step for extracting the content based on the preset data generated in the preset data generation step by a content extraction means;
A content extraction method comprising: a content combination step of combining the contents extracted in the content extraction step by a content combination unit in a predetermined order.   14. The content extraction method according to claim 13, wherein the preset data is obtained by dividing a single line or combining a plurality of lines.   The content according to claim 13 or 14, wherein the predetermined order is an order from a start point to an end point of the preset data, or an order from an end point of the preset data to a start point. Extraction method.   14. The predetermined order is an order from newest to oldest, or from oldest to newest, based on time information of the content. 14. The content extraction method according to 14.   The content combining step sets the reproduction / display time of the content for each content according to the length of the preset data and the width of the preset data, respectively. The content extraction method according to claim 1. A dividing step of dividing the preset into arbitrary sections by a dividing unit;
A content extraction restriction setting step for setting the number of extracted contents to be extracted in all sections of the preset data by the content extraction restriction setting means and the extraction ratio of the contents to be extracted for each section of the preset data divided by the dividing step; Further comprising
18. The content extraction step according to claim 13, wherein the content extraction step extracts the content according to the number of content extractions and the content extraction ratio set by the content extraction restriction setting step. The content extraction method described in 1. A dividing step of dividing the preset into arbitrary sections by a dividing unit;
A content extraction restriction setting step for setting the number of content extractions to be extracted for each preset section divided by the division step by the content extraction restriction setting means,
18. The content extraction according to claim 13, wherein the content extraction step extracts the content according to the number of content extractions set by the content extraction restriction setting step. Method. When a plurality of types of the content can be extracted by the content extraction step,
The content extraction method according to any one of claims 13 to 19, wherein the content extraction step extracts a predetermined type of the content.   21. The content according to claim 20, wherein the content combining step combines the predetermined types of content extracted by the content extraction step, and further combines the combined content for each of the predetermined types. Extraction method.   The content extraction method according to any one of claims 13 to 21, wherein the content extraction step displays the number of contents being extracted and / or a content extraction condition. A preset data storage step for storing the preset data generated in the preset data generation step by a preset data storage means;
A preset data editing step for editing the preset data generated in the preset data generation step by the preset data editing means or the preset data stored in the preset data storage step;
The content extraction method according to any one of claims 13 to 22, further comprising: A combined content editing step capable of editing the content combined by the content combining step by the combined content editing means;
The preset data editing step edits the preset data used when the content is extracted or newly generates preset data so that the content edited by the content editing step can be extracted. Item 24. The content extraction method according to Item 23.

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