JP2011130129A - Video reproducing device, and control method thereof - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To display a specified video point which a user desires by considering human learning capability characteristic and oblivion characteristic. <P>SOLUTION: An operation command from a user is accepted, and a position in terms of time base direction of the video being reproduced is specified based on the inputted operation command. A prediction value of process period required before a video reproducing device starts to execute the operation command after a user recognizes a specific video is calculated using user's capability characteristic. A position in terms of time base direction of the specified video being reproduced is corrected using the calculated prediction value. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a video playback device, and more particularly to a video playback device capable of special playback of video.

  When viewing a recorded television program, the user performs an operation for requesting special reproduction such as fast forward / rewind reproduction for a specific video portion in addition to normal reproduction. However, when special playback is requested, there is a delay for the reaction time until the user recognizes a specific video and presses the normal playback button or cancels the special playback button. An image advanced by the reaction time is displayed. Therefore, the specific video recognized by the user may not be displayed, and it may be necessary to repeat the operation requesting special playback again.

  As a method for solving such a problem, for example, Japanese Patent Application Laid-Open No. H10-228707 may consider a method of calculating the number of frames to be delayed based on a reaction speed detection test performed in advance or a result of manual operation performed previously. According to this method, an image recognized by the user can be displayed.

JP 2007-104301 A

  However, in the conventional method, since the reaction time of the user is constant, there is a difference between the video recognized by the user and the video actually displayed especially when the user continuously edits the moving image. There are challenges.

  Examples thereof are shown below with reference to FIGS. FIG. 2 is a diagram focusing on the processing time required between a command transmitter (hereinafter referred to as a remote controller) such as a remote controller and a device for displaying and reproducing a video (hereinafter referred to as a video playback device). When the user recognizes a specific video while viewing a video, an arbitrary command is transmitted to the video playback device 202 by the remote controller 201. The processing time in the meantime is defined as a command transmission time ts. For example, the command transmission time ts is a time from when a specific video as a target is displayed during fast-forward playback and when the normal playback instruction command is received by the video playback device after the user presses the normal playback button. is there.

  On the other hand, the processing time 202 on the video playback apparatus side is considered to be a time for analyzing a command received by 201, that is, a command reception analysis time tr and a special playback stop processing time tp that occurs when stop processing is performed during special playback. It is done.

Accordingly, the processing time that occurs between the remote controller 201 and the video playback device 202, ie, the minimum operation time Tmin, is the sum of the command transmission time ts, the command reception analysis time tr, and the special playback stop processing time tp. That is, it can be expressed by the following equation (1).
Tmin = ts + tr + tp (1)
On the other hand, FIG. 3 is a diagram focusing on the processing time required until the user operates the remote control after recognizing a specific video. A human recognizes a specific image from a visual organ (eyeball) 301 by a recognition organ (brain) 302. The time between them is defined as the visual nerve transmission time tu. On the other hand, the time for which the recognition organ 302 recognizes and actually transmits the motion to the motor organ (fingertip) 303 is defined as the muscle motion transmission time tv.

Therefore, the processing time required until the user operates the remote controller after recognizing a specific image, that is, the operation operation time Tmov is the sum of the visual nerve transmission time tu and the muscle operation transmission time tv. That is, it can be expressed by the following formula (2).
Tmov = tu + tv (2)
From the above, when the time required for the operation or operation on the apparatus side and the user side is T, T is the sum of the minimum operation time Tmin and the operation operation time Tmov. That is, it can be expressed by the following formula (3).
T = Tmin + Tmov (3)
The apparatus performs correction based on this T, but if the user performs a process of switching from special playback to normal playback N times continuously, the first time, the second time,..., The N−1th time, the Nth time Each time, the correction value T is corrected and displayed.

  However, humans have the ability to learn, and by repeating the same operation, the time required for the operation decreases as the number of times increases. On the other hand, as time passes, humans forget what they have learned once. Accordingly, there has been a problem that even if the process of switching from special playback to normal playback by the user is corrected each time by the correction value T, the video specific portion intended by the user cannot be displayed.

  The present invention has been made in view of the above problems, and an object of the present invention is to display a video specific portion intended by a user in consideration of human learning ability characteristics and forgetting characteristics.

  In order to solve the above problems, a video playback apparatus according to the present invention includes an input unit that receives an operation command from a user, and a position that specifies a position in the time axis direction of the video being played back from the operation command input by the input unit. Specifying means, calculating means for calculating a predicted value of processing time required from when the user recognizes a specific video to when the video playback device executes an operation command, using the capability characteristics of the user, and the position specifying And correction means for correcting the position specified by the means using the predicted value calculated by the calculation means.

  According to the video reproduction apparatus of the present invention, it is possible to display a specific video portion intended by the user in consideration of human learning ability characteristics and forgetting characteristics.

The block diagram showing the video reproduction apparatus of this invention Diagram showing processing time required between remote control and video playback device A diagram showing the processing time required for a user to recognize and operate a specific video The flowchart showing the processing flow in the present invention 7 is a flowchart illustrating a predicted value calculation method according to the first embodiment. 7 is a flowchart illustrating a predicted value calculation method according to the second embodiment. A flowchart which shows the calculation method of the predicted value of Embodiment 3. The figure which showed an example of the table used in Embodiment 3. A flowchart which shows the calculation method of the predicted value of Embodiment 3. The figure which showed an example of the table used in Embodiment 4. FIG. 2 is a block diagram showing an example of the hardware configuration of a computer applicable to the video playback apparatus of the present invention

  Hereinafter, the present invention will be described in detail based on the preferred embodiments with reference to the accompanying drawings. The configurations shown in the following embodiments are merely examples, and the present invention is not limited to the illustrated configurations.

<Embodiment 1>
FIG. 1 is a block diagram showing a configuration of a video reproduction apparatus according to the present invention. In the figure, 101 is an input unit that accepts input of operation commands transmitted by a command transmitter such as a remote controller. Reference numeral 102 denotes a video position specifying unit, which specifies a video position of a video being reproduced, for example, a position in the time axis direction such as a frame number, according to an operation command received by the input unit 101.

  A calculation unit 103 calculates the operation time required for the operation command received by the input unit 101 based on the reaction time of the user that changes with time.

  The configuration of the calculation unit 103 is as follows. A user identification unit 104 identifies the user who is operating. Reference numeral 106 denotes a predicted value calculation unit that calculates a predicted value. Reference numeral 109 denotes an actual measurement value calculation unit that calculates a value to be actually corrected. An error calculation unit 110 calculates an error from a predicted value calculation unit 106 and an actual measurement value calculation unit 109. As the error calculated by the error calculation unit approaches 0, more accurate correction is possible. A conversion unit 111 converts the actual measurement value calculated by the actual measurement value calculation unit 109 into the number of frames. Reference numeral 112 denotes a table that holds learning / forgetting values as fixed values in advance. Reference numeral 113 denotes a counter that manages the elapsed time since the previous operation. A timer 114 manages time. Reference numeral 115 denotes a video position correction unit that corrects the video position by the video position specifying unit 102 based on the calculation result of the calculation unit 103. An image display unit 116 outputs the image signal corrected by the image position correction unit 115 to a display medium such as a display.

  FIG. 4 is a flowchart showing the processing flow in the present invention. In step 401, the user specifying unit 104 specifies an operating user. As a user specifying method, for example, there is a method of associating the value of the table held in the table 112 with the user by a keyword such as age or name input by the user. However, the user specific method used in this step is not limited to the form described in this embodiment.

  In step 402, the video reproduction apparatus repeats the processing from step 403 to step 412 as long as there is a user operation.

  In step 403, the predicted value calculation unit 106 acquires the number of operations N from the counter 113, and performs the process of step 404 for the first time (N = 1), and step 407 otherwise.

  In step 404, the predicted value calculation unit 106 calculates a predicted value Tpre. A method for calculating the predicted value Tpre will be described later.

  In step 405, the actual measurement value calculation unit 109 calculates the actual measurement value Tmsr. Regarding a method of calculating the actual measurement value Tmsr, for example, when a user operation is repeated a plurality of times, it is recognized that a video that is not the video intended by the user is displayed on the display, and monitoring is performed until no user operation is received. There is a method for obtaining the value. However, the calculation method of the actual measurement value Tmsr used in this step is not limited to the form described in this embodiment.

In step 406, the error calculation unit 110 calculates the error Terr from the predicted value Tpre calculated in step 404 and the actual measurement value Tmsr calculated in step 405. The error Terr can be calculated by the following equation (4).
Terr = Tmsr−Tpre (4)
Step 407 is executed when this operation is not the first time at step 403. In step 407, as in step 404, the predicted value calculation unit 106 calculates the predicted value Tpre.

In step 408, the predicted value calculation unit 106 performs a process of feeding back the error Terr calculated in step 406 and the predicted value Tpre calculated in step 407 to the predicted value Tpre by the error Terr generated during the previous operation. When the predicted value after feedback is Tpre ′, the predicted value Tpre ′ can be calculated by the following equation (5).
Tpre '= Tpre + Terr (5)
In step 409, the actual measurement value calculation unit 109 calculates the actual measurement value Tmsr as in step 405.

In Step 410, the error calculation unit 110 calculates the error Terr from the predicted value Tpre ′ calculated in Step 408 and the actual measurement value Tmsr calculated in Step 409, as in Step 406. The error Terr can be calculated by the following equation (6).
Terr = Tmsr−Tpre ′ (6)
In step 411, the counter 113 adds the number of operations N.

In step 411, the conversion unit 111 performs a process of converting the actual measurement value Tmsr calculated in step 405 or step 409 into the number of frames. If the number of frames / sec is F1, it can be calculated by the following equation (7).
Number of frames = F1 [frame / sec] * Tmsr [sec] (7)
The video position correction unit 115 performs correction processing using the calculated number of frames.

  FIG. 5 is a flowchart showing a predicted value calculation method. Note that this corresponds to step 404 and step 407 shown in FIG.

  In step 501, the minimum operation time calculation unit 105 calculates the above-described minimum operation time Tmin. In step 502, the predicted value calculation unit 106 acquires the number of operations N from the counter 113. In step 503, the predicted value calculation unit 106 calculates a parameter RT based on the learning curve.

Here, the learning curve will be described. A generally known learning curve is represented by the following formula (8).
RT = aN− ^b (8)
However, RT is a reaction time, N is the number of operations, and a and b are parameters representing a task. In the present invention, predetermined values (a = 1.4, b = 0.24) that are generally defined are used for the parameters a and b representing the problem. Here, the learning curve used in this step is not limited to the learning curve.

In step 504, the predicted value calculation unit 106 calculates a predicted value Tpre based on the minimum operation time Tmin calculated in step 501 and the parameter RT calculated in step 503. The predicted value Tpre can be calculated by the following equation (9). That is, the predicted value Tpre corresponds to a predicted value of processing time required from when the user recognizes a specific video to when the video playback device executes an operation command.
Tpre = Tmin + RT (9)
As described above, according to the video reproduction device according to the present embodiment, it is possible to display the video specific portion intended by the user by calculating the predicted value based on the learning ability characteristic indicated by the learning curve.

<Embodiment 2>
Hereinafter, a second embodiment of the present invention will be described with reference to a flowchart with a focus on differences from the first embodiment. However, the technical scope of the present invention is not limited to this embodiment.

  FIG. 6 is a flowchart illustrating a predicted value calculation method according to the second embodiment. In the present embodiment, a prediction value calculation method that takes into account forgetting characteristics in addition to a learning curve is shown.

  In step 601, the minimum operation time calculation unit 105 calculates the minimum operation time Tmin. In step 602, the predicted value calculation unit 106 acquires the number of operations N from the counter 113. In step 603, the predicted value calculation unit 106 calculates the parameter RT based on the learning curve of the above equation (8).

  In step 604, the predicted value calculation unit 106 acquires the time t elapsed from the previous operation from the timer 114.

  In step 605, the predicted value calculation unit 106 calculates a parameter R (t) based on the forgetting curve. Here, the forgetting curve will be described. The present invention will be described using the London forgetting curve as the forgetting curve. The London forgetting curve is given by equation (10) below.

  However, R0 is the total amount, time is t, retention amount after time t is R (t), forgetting speed is λ, and recovery speed is μ. However, the forgetting curve used in this step is not limited to the London forgetting curve.

  In step 606, the predicted value calculation unit 106 calculates the predicted value Tpre based on the minimum operation time Tmin calculated in step 601, the learning curve parameter RT calculated in step 603 and the forgetting curve parameter R (t) calculated in step 605. To do. The predicted value Tpre can be calculated by the following equation (11).

  As described above, according to the video reproduction device according to the present embodiment, the prediction value is calculated based on the human learning ability characteristic and the human forgetting characteristic indicated by the learning curve, thereby displaying the video specific portion intended by the user. It becomes possible to do. Note that the predicted value may be calculated based only on the forgetting characteristic, or the same effect can be obtained by switching the correction based on the learning curve and the correction based on the forgetting characteristic.

<Embodiment 3>
FIG. 7 is a flowchart illustrating a predicted value calculation method according to the third embodiment. In the present embodiment, a prediction value calculation method that takes into account human learning ability characteristics using a learning table is shown.

  In step 701, the minimum operation time calculation unit 105 calculates the minimum operation time Tmin. In step 702, the predicted value calculation unit 106 acquires the number of operations N from the counter 113. In step 703, the predicted value calculation unit 106 refers to the learning table held in the table 112 and acquires the correction value RT by learning. An example of the table referred to in step 703 is shown in FIG. The contents of this table will be described later.

  In step 704, the predicted value calculation unit 106 calculates a predicted value Tpre based on the minimum operation time Tmin calculated in step 701 and the parameter RT calculated in step 703. The predicted value Tpre is calculated based on the formula (9).

  FIG. 8 shows an example of table values held in the table 112 in FIG. However, this table is not limited to the table values exemplified in the present invention. In addition, this table can have a plurality of table values for each user. A column 801 represents the number of operations N. For the number of operations N, the number of operations N acquired from the counter 113 in step 702 is referred to. A column 802 represents a correction value RT by learning. For example, when the minimum operation time Tmin calculated in step 701 in FIG. 7 is 0.5 and the number of operations N acquired in step 702 is 3, reference is made to the row 804 in FIG. A correction value RT = 1.05 by learning is acquired.

  After acquiring the correction value RT = 1.05 by learning in step 703, the predicted value calculation unit 106 calculates the predicted value Tpre based on equation (9) based on the minimum operation time Tmin calculated from step 701 in step 704. calculate. In this case, the predicted value Tpre = Tmin + RT + 1.05 = 2.00.

  In addition, although the continuous case was mentioned in the present Example, the same effect can be acquired also by the structure of this embodiment also about a discrete case.

<Embodiment 4>
FIG. 7 is a flowchart illustrating a predicted value calculation method according to the fourth embodiment. In the present embodiment, a prediction value calculation method that takes into account human learning ability characteristics using a learning table and human forgetting characteristics using a forgetting table is shown.

  In step 901, the minimum operation time calculation unit 105 calculates the minimum operation time Tmin. In step 902, the predicted value calculation unit 106 acquires the number of operations N from the counter 113. In step 903, the predicted value calculation unit 106 refers to the learning table held in the table 112 and acquires the correction value RT by learning. An example of the table referred to in step 903 is shown in FIG. In step 904, the predicted value calculation unit 106 acquires the time t elapsed from the previous operation from the timer 114.

  In step 905, the predicted value calculation unit 106 refers to the forgetting table held in the table 112 and acquires a correction value R (t) due to forgetting. An example of the table referred to in step 905 is shown in FIG. The contents of this table will be described later.

  In step 906, the predicted value calculation unit 106 calculates the predicted value Tpre based on the minimum operation time Tmin calculated in step 901 and the parameter R (t) calculated in step 905. The predicted value Tpre is calculated based on the equation (11).

  FIG. 10 shows an example of table values held in the table 112. However, this table is not limited to the table values exemplified in the present invention. In addition, this table can have a plurality of table values for each user. A column 1001 represents the elapsed time t. For the elapsed time t, the elapsed time t acquired from the timer 114 in step 904 is referred to. A column 1002 represents the holding amount R (t) after time t. As an example, if the minimum operation time Tmin calculated in step 901 in FIG. 9 is 0.6 and the number of operations acquired in step 802 is N = 2, step 903 refers to the row 804 in FIG. As a result, the correction value RT = 1.05 is obtained.

  After acquiring the correction value RT = 1.05 by learning in step 903, the predicted value calculation unit 106 acquires the time t elapsed from the previous operation from the timer 114 in step 904. Here, when the time elapsed from the previous operation acquired from the timer 114 is t = 20 (minutes), by referring to the row 1003 in FIG. The holding amount R (t) = 58 (%) is acquired.

  After obtaining the correction value R (t) = 58 (%) due to forgetting in step 905, the predicted value calculation unit 106 uses the minimum operation time Tmin in step 906 and the learning correction value RT obtained in step 903 to obtain an expression ( The predicted value Tpre is calculated based on 11). In this case, the predicted value Tpre is 2.091.

  In addition, although the continuous case was mentioned in the present Example, the same effect can be acquired also by the structure of this embodiment also about a discrete case.

<Embodiment 5>
The above embodiments have been described on the assumption that all the units included in the apparatus shown in FIG. 1 are configured by hardware. However, each unit other than the holding means for holding the table 112 and the like may be configured by a computer program. In this case, a computer or video playback device having a memory for storing such a computer program and a CPU for executing the computer program stored in the memory is applied to the video playback device according to each of the above embodiments. can do.

  FIG. 11 is a block diagram illustrating a configuration example of computer hardware applicable to the video reproduction device according to each of the above embodiments.

  The CPU 1101 controls the entire computer using computer programs and data stored in the RAM 1102 and the ROM 1103, and executes each process described above as performed by the video reproduction apparatus according to each of the above embodiments. That is, the CPU 1101 functions as 101 to 111 and 113 to 116 in FIG.

  The RAM 1102 has an area for temporarily storing computer programs and data loaded from the external storage device 1106, data acquired from the outside via an I / F (interface) 1109, and the like. Further, the RAM 1102 has a work area used when the CPU 1101 executes various processes. That is, the RAM 1102 can be allocated as a frame memory, for example, or can provide other various areas as appropriate.

  The ROM 1103 stores setting data of the computer, a boot program, and the like. The operation unit 1104 is configured by a keyboard, a mouse, and the like, and various instructions can be input to the CPU 1101 by being operated by a user of the computer. A display unit 1105 displays a processing result by the CPU 1101. The display unit 1105 is configured by a hold-type display device such as a liquid crystal display or an impulse-type display device such as a field emission type display device.

  The external storage device 1106 is a large-capacity information storage device represented by a hard disk drive device. The external storage device 1106 stores an OS (Operating System), functions of each unit shown in FIG. 1, and a computer program for causing the CPU 1101 to realize the flows shown in FIGS. 4 to 7 and FIG. Furthermore, each image data as a processing target may be stored in the external storage device 1106.

  Computer programs and data stored in the external storage device 1106 are appropriately loaded into the RAM 1102 under the control of the CPU 1101 and are processed by the CPU 1101. A network such as a LAN or the Internet and other devices can be connected to the I / F 1107, and this computer can acquire and send various information via the I / F 1107. A bus 1108 connects the above-described units.

  In the operation having the above-described configuration, the CPU 1101 performs the operation described with reference to the flowchart described above as the center of the control.

<Other embodiments>
The object of the present invention can also be achieved by supplying a storage medium recording the computer program code for realizing the above-described functions to the system, and the system reading and executing the computer program code. In this case, the computer program code itself read from the storage medium realizes the functions of the above-described embodiments, and the storage medium storing the computer program code constitutes the present invention. In addition, the operating system (OS) running on the computer performs part or all of the actual processing based on the code instruction of the program, and the above-described functions are realized by the processing. .

  Furthermore, you may implement | achieve with the following forms. That is, the computer program code read from the storage medium is written into a memory provided in a function expansion card inserted into the computer or a function expansion unit connected to the computer. Then, based on the instruction of the code of the computer program, the above-described functions are realized by the CPU or the like provided in the function expansion card or function expansion unit performing part or all of the actual processing.

  When the present invention is applied to the above storage medium, the computer program code corresponding to the flowchart described above is stored in the storage medium.

Claims (5)

An input means for receiving an operation command from a user;
Position specifying means for specifying a position in the time axis direction of the video being reproduced from the operation command input by the input means;
A calculation means for calculating a predicted value of a processing time required from when the user recognizes a specific video until the video playback device executes an operation command, using the capability characteristics of the user;
A video reproducing apparatus comprising: a correcting unit that corrects the position specified by the position specifying unit using the predicted value calculated by the calculating unit.   The video reproduction apparatus according to claim 1, wherein the calculation unit calculates the predicted value based on a learning curve including a parameter indicating a predetermined value and the number of operations N.   3. The video reproduction apparatus according to claim 1, wherein the calculating unit calculates the predicted value based on a forgetting curve indicated by a forgetting speed λ and a recovery speed μ. A method for controlling a video playback device, comprising:
An input process for receiving an operation command from a user;
A position specifying step for specifying a position in the time axis direction of the video being played from the input operation command;
A calculation step of calculating a predicted value of processing time required from when the user recognizes a specific video to when the video playback device executes an operation command, using the capability characteristics of the user;
A control method for a video playback apparatus, comprising: a correction step of correcting a position in the time axis direction of a specified video being played back using a calculated predicted value.   A program that causes a computer to function as the video playback device according to any one of claims 1 to 3 by being read and executed by the computer.

Images