TW201711469A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

An entropy decoding unit (101) carries out entropy decoding on coded image information which is obtained when image information which is configured of a plurality of macro-blocks is coded, and extracts from the coded image information a plurality of instances of coded information which is provided corresponding to the plurality of macro-blocks, with each of the instances of coded information including at least a motion vector. A region extraction unit (102) extracts regions within the image information wherein motion is present as motion regions, on the basis of the plurality of motion vectors which is included in the plurality of instances of coded information which is extracted by the entropy decoding unit (101).

Description

Information processing device, information processing method and information processing program product

The present invention is directed to a technique for extracting a motion region having motion within the portrait information.

In order to reduce the transmission load of image information captured by a camera or to reduce the amount of data, techniques for compressing moving image coding to generate image coding information are widely used.

However, when the portrait image number information is analyzed, it is necessary to use the decoding process to restore the image information before encoding.

Patent Document 1 discloses an image processing apparatus having an analysis method of detecting an animal body such as a person or a car included in a moving image.

[Previous Technical Literature] [Patent Literature]

Patent Document 1: Japanese Laid-Open Patent Publication No. 2007-316856

In the image processing device of Patent Document 1, the image information is decoded from the image number information, and the animal body is detected based on the decoded image information.

As described above, the image processing device of Patent Document 1 has a problem that the calculation load is high due to the decoding of the image information.

The main object of the present invention is to solve the above-mentioned problems, and to reduce the calculation load when moving a motion region in which image information is captured is the main purpose.

The information processing device according to the present invention includes: decoding image code information obtained by encoding image information composed of a plurality of macroblocks, and extracting and setting the plurality of macroblocks from the image code information An entropy decoding unit that includes at least a plurality of pieces of information of a motion vector; and a motion-receiving region in the image information based on a plurality of motion vectors included in the plurality of pieces of encoded information extracted by the entropy decoding unit As the area extraction part of the sports area.

According to the present invention, since the image information is not decoded, but the motion region is extracted based on the motion vector included in the encoded information, the calculation load when the motion region is captured can be reduced.

100‧‧‧Information processing device

101‧‧‧ Entropy Decoding Department

102‧‧‧Regional Acquisition Department

103‧‧‧Pixel Value Conversion Department

1031‧‧‧Regional Decision Department

1032‧‧‧Coded Information Computing Department

1033‧‧‧Coded Information Imaging Department

Fig. 1 is a view showing an example of a functional configuration of an information processing device according to a first embodiment.

FIG. 2 is a view showing an example of the internal configuration of the pixel value conversion unit according to the first embodiment.

Fig. 3 is a view showing an example of the coded signal according to the first embodiment.

Fig. 4 is a view showing an outline of the operation of the area capturing unit according to the first embodiment.

Fig. 5 is a view showing an outline of the operation of the area capturing unit according to the first embodiment.

Fig. 6 is a flow chart showing an operation example of the area capturing unit according to the first embodiment.

Fig. 7 is a view showing an outline of the operation of the pixel value conversion unit according to the first embodiment.

Fig. 8 is a flowchart showing an operation example of the pixel value conversion unit according to the first embodiment.

Fig. 9 is a view showing an outline of the operation of the coded information calculation unit according to the first embodiment.

Fig. 10 is a view showing an outline of the operation of the coded information calculation unit according to the first embodiment.

Fig. 11 is a view showing an outline of the operation of the coded information image forming unit according to the first embodiment.

Fig. 12 is a view showing an outline of the operation of the coded information image forming unit according to the first embodiment.

Fig. 13 is a view showing an outline of the operation of the coded information image forming unit according to the first embodiment.

Fig. 14 is a view showing an example of a hardware configuration of the information processing device according to the first embodiment.

Embodiment 1.

***Composition description***

Fig. 1 shows an example of the functional configuration of the information processing device 100 according to the first embodiment.

As shown in FIG. 1, the information processing device 100 includes an entropy decoding unit 101, a region capturing unit 102, and a pixel value converting unit 103.

Further, as shown in FIG. 2, the pixel value conversion unit 103 includes an area determination unit 1031, a number information calculation unit 1032, and a coded information image forming unit 1033.

Further, the operation of the information processing device 100 to be described later corresponds to an example of the information processing method and the information processing program.

As shown in FIG. 14, the information processing device 100 includes hardware such as a processor 901, a memory device 902, a receiving device 903, and a transmitting device 904.

In the memory device 902, a program for realizing the functions of the entropy decoding unit 101, the area extracting unit 102, and the pixel value converting unit 103 is stored.

Next, the processor 901 executes the operations of the entropy decoding unit 101, the region extracting unit 102, and the pixel value converting unit 103, which will be described later, in order to execute these programs.

In FIG. 14, the mode display processor 901 performs a state in which the functions of the entropy decoding unit 101, the region extracting unit 102, and the pixel value converting unit 103 are executed.

The receiving device 903 receives the image encoding information.

The transmitting device 904 transmits the pixel value information to an image recognizing device (not shown).

*** Action Description ***

Next, the entropy decoding unit 101 and the area capturing unit 102 shown in FIG. 1 will be described. The operation of the pixel value conversion unit 103.

The entropy decoding unit 101 receives the image encoding information through the receiving device 903 shown in FIG. 14, entropy-decodes the image encoding information, and extracts the encoded information from the image encoding information.

The portrait encoding information is information obtained by entropy encoding image information composed of a plurality of macroblocks.

The entropy decoding unit 101 extracts a plurality of pieces of coded information set corresponding to the plurality of macroblocks from the picture code information by entropy decoding.

Each of the encoded information includes at least: a motion vector, a macro block shape, a quantization step, and reference portrait information.

Further, the operation of the entropy decoding unit 101 corresponds to the entropy decoding process.

The area capturing unit 102 arranges a plurality of motion vectors included in the plurality of pieces of encoded information extracted by the entropy decoding unit 101 in the order of the macroblocks, and extracts the image information based on the positions of the plurality of motion vectors. The moving area acts as a moving area.

The motion area is an area in which the animal body is depicted in the portrait information.

More specifically, the area capturing unit 102 integrates motion vectors arranged at two or more of the plurality of motion vectors among the plurality of motion vectors, and extracts the motion regions based on the positions of the integrated motion vectors.

Further, the operation of the area capturing unit 102 corresponds to the area capturing process.

The pixel value conversion unit 103 acquires the encoded information corresponding to the macroblock of the motion region extracted by the use region extracting unit 102, and obtains the motion vector of the encoded information, the macroblock shape, the quantization step, and the reference. At least one of the portrait information is converted into a pixel value.

Next, the pixel value conversion unit 103 displays the pixel value information converted from the encoded information on the pixel value information per pixel, and transmits it to the image recognition device via the transfer device 904 shown in FIG.

Further, the pixel value conversion based on the encoded information of the pixel value conversion unit 103 is also referred to as imaging of the encoded information.

As described above, the pixel value conversion unit 103 is composed of the area determination unit 1031, the coded information calculation unit 1032, and the coded information image forming unit 1033 shown in FIG. 2, but the area determination unit 1031, the coded information calculation unit 1032, and the code. The detailed description of the information imaging unit 1033 will be described later.

FIG. 3 is a view showing information obtained by entropy decoding the image coding information by the entropy decoding unit 101.

According to the entropy decoding, the header information, the encoded information, and the encoded texture information are obtained from the image encoding information.

The header information, the encoded information, and the encoded texture information are macroblocks that are set in each of the image information.

The header information is, for example, an SPS (Sequence Parameter Set) or a PPS (Picture Parameter Set) in H.264 encoding.

The coding information includes parameters such as a macro block shape, a quantization step, an intra-picture prediction mode, a reference picture information, a motion vector, an intra-picture prediction cost, an inter-picture prediction cost, and a macro block symbol quantity.

In the present embodiment, the macro block shape, the quantization step, the motion vector, and the reference portrait information can be used to convert the pixel values.

The encoded texture information is the portrait information in the encoding.

According to the decoding process for the encoded texture information, the portrait information can be obtained in a macroblock unit.

In the prior art, the portrait information is obtained based on the decoding process for the encoded texture information, and the motion region in the portrait information is extracted by analyzing the portrait information.

In the present embodiment, the region capturing unit 102 analyzes the motion vector included in the encoded information in a state where the decoding process for the encoded texture information is not performed, and extracts the motion region in the image information.

Next, an operation example of the area capturing unit 102 will be described.

The area capturing unit 102 arranges a plurality of motion vectors included in the plurality of pieces of encoded information corresponding to the plurality of macroblocks in the order of the macroblocks.

Next, the area capturing unit 102 extracts the motion area based on the positions of the plurality of motion vectors arranged in the order of the macroblocks.

The motion area is determined based on the presence or absence of the motion vector and the distance of the motion vector.

The area capturing unit 102 integrates motion vectors of 2 or more at positions close to each other.

In other words, the area capturing unit 102 specifies an area including motion vectors having a distance between two or more of the critical value TH_DIST or less as a candidate area.

Next, the area capturing unit 102 captures a candidate area having an area equal to or greater than the threshold value TH_RANGE as a motion area.

On the other hand, the area capturing unit 102 discards the candidate area of the area under-complete threshold TH_RANGE as a noise.

4 and 5 show an outline of the operation of the display area capturing unit 102.

The area capturing unit 102 acquires the frame number of the image information. Code information.

In Fig. 4(a), each column is a parameter indicating the coding information of one macroblock.

In other words, the motion vector MV1, the macroblock block form MBT1, the quantization step ST1, and the reference picture information INF1 are parameters of the coded information of the macro block MB1.

Similarly, the motion vector MV2, the macroblock block form MBT2, the quantization step ST2, and the reference picture information INF2 are parameters of the coded information of the macro block MB2.

The same is true for the macro block MB3.

Next, as shown in FIG. 4(b), the region extracting unit 102 arranges the motion vectors into the order of the macroblocks.

Further, as shown in FIG. 5(a), the area capturing unit 102 aggregates motion vectors having a distance of a threshold value TH_DIST or less into one candidate area.

Next, as shown in FIG. 5(b), the area capturing unit 102 captures a candidate area having a threshold value TH_RANGE or more as a motion area.

FIG. 6 is a flowchart showing an operation example of the display area capturing unit 102.

The area extracting unit 102 first arranges the motion vector of the encoded information of the 1-frame amount extracted by the entropy decoding unit 101 into the order of the macroblocks (ST11).

In other words, the area capturing unit 102 configures the motion vector of the 1-frame weight to be the same as the configuration of the motion vector in the case of decoding the portrait information.

Next, the area capturing unit 102 judges whether or not all of the configured motion vectors have been investigated (ST12).

When there is a motion vector that has not been investigated (NO in ST12), the region capturing unit 102 selects the motion vector of the investigation target (ST13).

Next, the area extracting unit 102 determines whether or not the distance between the motion vector selected by ST13 and the motion vector in the vicinity of the motion vector is equal to or less than the critical value TH_DIST (ST14).

When the motion vector selected by ST13 and the distance to the nearby motion vector are equal to or less than the threshold TH_DIST (YES in ST14), the region extracting unit 102 specifies the region including the motion vector selected by ST13 and the motion vector in the vicinity. For the candidate area, the candidate area is stored in the area storage buffer.

Further, the area storage buffer is constructed in the memory device 902 shown in FIG.

Next, the area capturing unit 102 aggregates two or more candidate areas that are stored in the candidate area of the area storage buffer and that are overlapped with each other into one candidate area (ST16).

On the other hand, in ST12, when all the motion vector investigations are completed (YES in ST12), the area capturing unit 102 sets the area to the under-threshold threshold TH_RANGE among the candidate areas of the area storage buffer. The candidate area is discarded (ST17).

In other words, the area capturing unit 102 captures a candidate area having the area TH_RANGE as the motion area.

Next, the area capturing unit 102 stores the encoded information corresponding to the captured motion area in the encoded information buffer (ST18).

In other words, the area capturing unit 102 stores the coded information corresponding to the macro block constituting the motion area extracted by ST17 in the coded information buffer.

The coded information buffer is constructed in the memory device 902 shown in FIG.

Next, the pixel value conversion unit 103 will be described.

FIG. 7 is an outline of the operation of the display pixel value conversion unit 103.

The pixel value conversion unit 103 acquires the coded information of the macroblocks constituting the motion area extracted by the area extracting unit 102 from the coded information buffer.

Next, the pixel value conversion unit 103 converts the encoded information of each macroblock into a pixel value.

The pixel value conversion unit 103 converts, for example, the X direction norm, the Y direction norm, and the macro block form of the motion vector into pixel values of the RGB color space.

Next, the pixel value conversion unit 103 stores the converted pixel values in pixels according to the arrangement order of the macroblocks, generates pixel value information of the display pixel values in each pixel, and transmits the generated pixel value information to the image recognition device. .

Next, the region determining unit 1031, the encoding information computing unit 1032, and the encoding information imaging unit 1033 of the components of the pixel value converting unit 103 will be described.

The area determining unit 1031 determines the number of imaging regions used for imaging information.

The coded information calculation unit 1032 determines whether or not to perform arithmetic processing on the coded information of the single or plurality of motion regions determined by the region determining unit 1031.

When the encoding information calculation unit 1032 performs arithmetic processing on the encoded information, for example, the following arithmetic processing is performed.

When one motion region is used, the coded information calculation unit 1032 calculates the average value of each column of the macroblock of the coded information.

Further, when a plurality of motion regions are used, the coded information calculation unit 1032 calculates an average value between motion regions of the coded information.

Further, when the plurality of motion regions are used, the coded information computing unit 1032 may use a motion region extracted from image coded information of different frames.

Further, the coded information calculation unit 1032 may not perform arithmetic processing on the coded information.

The encoded information imaging section 1033 converts the encoded information into pixel values.

In other words, the coded information image forming unit 1033 determines the arrangement of the coded information processed by the area determining unit 1031 and the coded information calculation unit 1032, and converts the coded information into pixel values.

Further, when the coded image forming unit 1033 performs pixel value conversion, the coded information may be normalized in accordance with the characteristics of the image recognition device of the destination of the pixel value information.

The coded information calculation unit 1032 may, for example, normalize the motion vector and the macro block form.

Further, the form of the pixel value may be color, gray scale, high dynamic range, or the like, and is not limited to a specific form.

FIG. 8 is a flowchart showing an operation example of the pixel value conversion unit 103 according to the present embodiment.

The flow of FIG. 8 is performed after the coded information corresponding to the motion area is stored in the coded information buffer according to ST18 of FIG.

First, the region determining unit 1031 determines the imaging region to be used for encoding information (ST21).

Next, the code information calculation unit 1032 determines whether or not the calculation processing is performed on the motion region determined by ST21 (ST22).

When it is determined in ST22 that the arithmetic processing is performed, the encoded information computing unit 1032 performs arithmetic processing using the encoded information (ST23).

Further, an example of the arithmetic processing will be described later with reference to FIGS. 9 and 10 .

After the arithmetic processing of ST23 is performed, ST24 is performed.

On the other hand, if it is determined in ST22 that the arithmetic processing is not to be performed, ST24 is performed.

In ST24, the encoded information imaging unit 1033 determines whether or not to calculate the pixel value of the encoded information.

When the pixel value of the encoded information is calculated, the encoded information imaging unit 1033 calculates the pixel value of the encoded information (ST25).

In addition, an example of the pixel value calculation processing will be described later with reference to FIGS. 11 , 12 , and 13 .

Next, the coded information image forming unit 1033 generates pixel value information indicating the pixel value of the coded information calculated by ST25, and transmits the pixel value information to the image recognition device (ST26).

FIG. 9 and FIG. 10 are diagrams showing an arithmetic processing performed by the encoding information computing unit 1032 performed in ST23 of FIG.

FIG. 9 shows a technique for reducing the amount of information by calculating the average value of each column of the macroblock of the encoded information when one arithmetic area is used.

That is, in the example of FIG. 9, the encoding information calculation unit 1032 performs an operation of consolidating the encoded information of 16 corresponding to the (4×4) macroblock into four pieces of encoded information.

Next, after the rounding operation of FIG. 9, the encoded information image forming unit 1033 converts the four pieces of encoded information after the rounding into pixel values.

Moreover, FIG. 10 shows a method of calculating the average value of the encoded information by using the macroblock located at the same position and reducing the amount of information when a plurality of motion regions are used.

In other words, in the example of FIG. 10, when the two motion blocks are each composed of (4 × 4) macroblocks, the coding information calculation unit 1032 performs {2 × (4 × 4)}. The operation of coding information (4 × 4) coded information.

Next, after the rounding operation of FIG. 10, the encoded information image forming unit 1033 converts the 16 pieces of encoded information after the rounding into pixel values.

In addition, in FIG. 9, although the coded information calculation unit 1032 calculates the average value for each column of the macroblock and integrates the coded information, the coded information may be aggregated by another calculation method.

For example, the coded information calculation unit 1032 may integrate the coded information based on the maximum value (or the minimum value or the center value) of the coded information.

In other words, the coded information calculation unit 1032 aggregates n pieces of coded information corresponding to n (n is an integer of 2 or more) macroblocks of the motion area captured by the use area extracting unit 102 into m pieces (m). It is an operation of encoding information for an integer of 1 or more and a factor of n, and any calculation can be performed.

Similarly, in FIG. 10, the coded information computing unit 1032 calculates the average of the coded information of the macroblocks located at the same position and integrates the coded information. However, the coded information may be aggregated by other calculation methods.

For example, the coded information computing unit 1032 may use the maximum value (or the minimum value or the central value) of the encoded information to summarize the encoded information.

In other words, the coding information calculation unit 1032 extracts j (j is an integer of 2 or more) motion blocks each composed of i (i is an integer of 1 or more) macroblocks by the region extraction unit 102. Any calculation may be performed as long as the (i×j) pieces of coded information corresponding to the (i×j) macroblocks included in the j motion blocks are aggregated into i pieces of coded information.

Further, in Fig. 10, it is shown that the coding information computing unit 1032 extracts (i × j) motion vectors (j = 2 in Fig. 10) from one frame (in Fig. 10 ( i × j) = (16 × 2)) The coded information is summarized as an example of i (i = 16 in Fig. 10) coded information.

At this point, the code information calculation unit 1032 may acquire (j-1) motion regions that have been extracted by the area extraction 102 in the past.

In other words, the coded information calculation unit 1032 may acquire (j-1) motion regions extracted from a frame different from the frame of the frame to be the flow of the flowchart of FIG.

Further, (j-1) motion regions are respectively composed of i macroblocks.

Next, the code information calculation unit 1032 performs a motion region (a motion region extracted by the flow of FIG. 4) included in the (j-1) motion region and the region extraction unit 102 that have been acquired. The (i×j) coded information corresponding to the (i×j) macroblocks of the j motion regions may be aggregated into i coded information operations.

Specifically, the coded information computing unit 1032 calculates the average value of the encoded information of the macroblocks located at the same position and combines the encoded information, as in FIG.

Next, in this case, the coded information imaging unit 1033 converts the aggregated i coded information into pixel values.

FIG. 11, FIG. 12, and FIG. 13 are diagrams showing the pixel value calculation processing by the coded information image forming unit 1033 performed in ST25 of FIG.

In FIG. 11, it is shown that the coded information imaging unit 1033 converts each macroblock shape of the 16 pieces of coded information corresponding to the (4×4) macroblock, and the X-direction norm and the Y-direction norm of the motion vector. An example of the pixel value of the RGB color space.

The coded image forming unit 1033 determines the value converted into the pixel value among the values included in the coded information in accordance with the image recognition device of the transfer destination of the pixel value information.

In Example 1, the coded information imaging unit 1033 converts the X-direction norm of the motion vector into an R-pixel value, converts the Y-direction norm of the motion vector into a G-pixel value, and converts the macroblock form into a B-pixel value.

In Example 2, the encoded information imaging unit 1033 converts the fixed value not included in the encoded information into an R pixel value, converts the Y-direction norm of the motion vector into a G pixel value, and converts the X-direction norm of the motion vector into B pixel value.

In Example 3, the encoded information imaging section 1033 converts the macroblock shape into all the pixel values of RGB.

Further, the coded information image forming unit 1033 determines a method of converting the pixel value in response to the image recognition device of the destination of the pixel value information.

In the example 4, the coded information imaging unit 1033 normalizes the macro block form from 0 to 255, converts the normalized macro block form into R pixel values, and converts the X direction norm of the motion vector into G and B pixel values.

In Example 5, the coded information imaging unit 1033 converts the total value of the X direction norm and the Y direction norm of the motion vector into R and G pixel values, and converts the macro block form into B pixel values.

Further, the coded information image forming unit 1033 can calculate the pixel value from the coded information using an arbitrary calculation formula.

Further, as shown in FIG. 12, in addition to the macro block shape and the motion vector, the quantization step value, the number of the leading end frame of the reference portrait information, and the number of the last frame may be converted into pixel values.

Also, the type of color space of the conversion destination is arbitrary.

That is, the encoded information imaging unit 1033 can convert to the pixel value of the YUV color space or the pixel value of the HSV color space in addition to converting the encoded information into pixel values of the RGB color space.

Further, as shown in FIG. 13, the coded information image forming unit 1033 adjusts the number of pieces of coded information (for example, the number of macroblock blocks and the number of motion vectors), and adjusts the pixel value of the conversion destination (FIG. 13). Example 1).

Further, for example, when the number of macroblock patterns is different from the number of motion vectors, the coded information imaging unit 1033 copies the number of the number of macroblocks and the number of motion vectors. The number is also consistent (example 2 of Fig. 13).

*** Description of the effect of the implementation form***

In this way, according to the first embodiment, since it is not necessary to decode the portrait information, the motion region can be extracted based on the motion vector included in the encoded information, and the calculation load at the time of capturing the motion region can be reduced.

Further, the information processing device 100 according to the present embodiment has the entropy decoding unit 101 that acquires the encoded information from the image coding information, and since the decoding processing other than the entropy decoding is not required, the calculation load on the decoding processing can be reduced.

Further, since the area capturing unit 102 uses only the coded information, it is possible to roughly determine the area where the animal body exists by using a smaller amount of information than the image information.

Further, the pixel value conversion unit 103 can generate an image suitable for the motion recognition area of the image recognition device.

Furthermore, by using the pixel value conversion unit 103 to image the encoded information, The calculation load of the image recognition device can be reduced as compared with the case of the image information decoded by the image recognition device.

Compared with the voice information or the text information, the calculation load in the case of processing the portrait information is high, and the calculation load of the image recognition device is increased in proportion to the size of the decoded image information, but according to the embodiment, the image is generated. The identification device does not process the image information but processes the pixel value information of the encoded information, which can reduce the calculation load of the image recognition device.

*** Hardware composition description ***

Finally, a supplementary explanation of the hardware configuration of the information processing apparatus 100 is performed.

The information processing device 100 is a computer.

The processor 901 shown in FIG. 14 is an IC (Integrated Circuit) for processing.

The processor 901 is a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or the like.

The memory device 902 shown in FIG. 14 is a RAM (Random Access Memory), a ROM (Read Only Memory), a flash memory, an HDD (Hard Disk Drive), and the like. .

The receiving device 903 and the transmitting device 904 shown in FIG. 14 are, for example, a communication chip or a NIC (Network Interface Card).

Further, the OS (Operating System) is also stored in the memory device 902.

Next, at least a portion of the OS is executed by the processor 901.

The processor 901 executes the entropy decoding unit 101, the region extracting unit 102, and the pixel value converting unit 103 while executing at least a part of the OS (the following is integrated) The function program called "part").

In FIG. 14, although one processor is illustrated, the information processing device 100 may have a plurality of processors.

Further, the information or the data or the signal value or the variable value indicating the processing result of the "part" is stored in the memory device 902 or the resistor or the cache memory in the processor 901.

In addition, the program that realizes the functions of "Min" is stored in a portable memory medium such as a disk, a floppy disk, a compact disc, a compact disc, a Blu-ray (registered trademark) disc, or a DVD.

Also, it is also possible to replace "section" with "processing circuit" or "circuit" or "step" or "sequence" or "processing".

The "processing circuit" or "circuit" includes not only the processor 901 but also a so-called logic IC or GA (Gate Array) or an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate). Array; the concept of other types of processing circuits for field programmable gate arrays.

100‧‧‧Information processing device

101‧‧‧ Entropy Decoding Department

102‧‧‧Regional Acquisition Department

103‧‧‧Pixel Value Conversion Department

Claims (10)

An information processing apparatus includes: an entropy decoding unit that performs entropy decoding on image coded information obtained by encoding image information composed of a plurality of macroblocks, and extracts the plurality of macroblocks from the image coded information Each of the block corresponding settings includes at least a plurality of pieces of coded information of the motion vector; and the area extracting unit captures the portrait information according to the plurality of motion vectors included in the plurality of pieces of encoded information extracted by the entropy decoding unit The area with motion inside is used as the movement area. The information processing device according to claim 1, wherein the information processing device further includes: acquiring encoded information corresponding to a macroblock constituting the motion region extracted by the region capturing unit, and acquiring the acquired information The pixel value conversion unit that converts the encoded information into pixel values. The information processing device of claim 2, wherein the entropy decoding unit extracts, in addition to the motion vector, a macroblock shape, a quantization step, and a reference image information, respectively, from the image coding information The pixel value conversion unit converts at least one of the motion vector and the macroblock form and the quantization step and the reference image information into pixel values. The information processing device of claim 1, wherein the area capturing unit configures the plurality of motion vectors included in the plurality of pieces of encoded information in the order of the macroblocks, according to the positions of the plurality of motion vectors. Before taking The area of motion. The information processing device of claim 4, wherein the region capturing unit integrates motion vectors disposed at or above 2 in the plurality of motion vectors, and extracts the motion according to the position of the integrated motion vector region. The information processing device according to the second aspect of the invention, wherein the pixel value conversion unit is configured by n (n is an integer of 2 or more) macroblocks in the motion region extracted by the region capturing unit. In this case, the n pieces of coded information corresponding to the n macroblocks are aggregated into m pieces of information (m is an integer of 1 or more and is a factor of n), and the m pieces of coded information to be merged are performed. Converted to pixel values separately. The information processing device according to the second aspect of the invention, wherein the pixel value conversion unit extracts j (i is an integer of 1 or more) macroblocks by the region extracting unit ( When j is an integer of 2 or more) motion region, (i × j) pieces of coded information corresponding to (i × j) macroblocks included in the j motion regions are aggregated into i codes. The operation of the information converts the aggregated i-coded information into pixel values. The information processing device according to the second aspect of the invention, wherein the pixel value conversion unit extracts a motion region composed of i (i is an integer of 1 or more) macroblocks by using the region capturing unit (j-1) (j is an integer of 2 or more) motion regions each composed of i macroblocks taken out by the above-mentioned area capturing unit, and obtained and combined with the included (j-1) sports area and utilization The (i×j) pieces of coded information corresponding to the (i×j) macroblocks of the j motion regions of the motion area extracted by the foregoing region extracting unit are aggregated into i coded information operations, and are aggregated The i coded information is converted into pixel values, respectively. An information processing method for causing a computer to entropy decode image coded information obtained by encoding image information composed of a plurality of macroblocks, and extracting respective settings corresponding to the plurality of macroblocks from the image coded information The computer includes at least a plurality of coding information of the motion vector, and the computer captures the motiond region in the image information as the motion region according to the plurality of motion vectors included in the plurality of coded information. An information processing program product that performs the following processing on a computer: entropy decoding processing for entropy decoding image coded information obtained by encoding image information composed of a plurality of macroblocks, and encoding information from the image And extracting, from the plurality of macroblocks corresponding to the plurality of macroblocks, a plurality of encoded information including at least a motion vector; and region extracting processing, which is based on the plurality of encoded information that is included in the entropy decoding process. The motion vector captures the moving area in the aforementioned portrait information as the motion area.