CN111160068B - Target picture generation method and device and electronic equipment - Google Patents
Target picture generation method and device and electronic equipment Download PDFInfo
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- CN111160068B CN111160068B CN201811320634.XA CN201811320634A CN111160068B CN 111160068 B CN111160068 B CN 111160068B CN 201811320634 A CN201811320634 A CN 201811320634A CN 111160068 B CN111160068 B CN 111160068B
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- 238000001514 detection method Methods 0.000 claims description 20
- 230000008569 process Effects 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 abstract description 9
- 238000012545 processing Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 239000000284 extract Substances 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
Abstract
The application provides a target picture generation method, a target picture generation device and electronic equipment, wherein the method comprises the following steps: when receiving the target human body picture, searching the picture containing the target human body from the human body data information; determining a background picture of a target human body; aiming at each frame of searched picture, extracting a target block containing a target human body from the picture, superposing the target block to a background picture, wherein the position of the target block in the background picture corresponds to the position of the target block in the picture; and determining the background picture overlapped with each target block as a target picture containing the target human motion trail. By searching for pictures containing the target human body in the human body data information instead of searching for the pictures from the whole video data, the searching efficiency can be improved. The motion trail of the target human body is reflected by one picture instead of a section of concentrated video, so that the storage space can be saved, the transmission bandwidth can be saved during transmission, and the reading time expenditure of a user can be shortened.
Description
Technical Field
The present disclosure relates to the field of video processing technologies, and in particular, to a method and an apparatus for generating a target picture, and an electronic device.
Background
With the increasing volume of video data, users hope to obtain a quick preview of the video without viewing the whole video, analyze the structure and content of the video, extract meaningful parts from the original video, and form a concise summary capable of fully representing the video content. But the video preview is still a video composed of a plurality of image frames, requires a relatively large memory space, and requires a relatively large bandwidth at the time of forwarding.
Disclosure of Invention
In view of this, the present application provides a method, an apparatus and an electronic device for generating a target picture, so as to solve the problem that the storage space and bandwidth required for video preview generated in the related art are relatively large.
According to a first aspect of embodiments of the present application, there is provided a target picture generation method, including:
when a target human body picture is received, at least one frame of picture containing the target human body is searched from stored human body data information;
determining a background picture of the target human body;
aiming at each frame of searched picture, extracting a target block containing the target human body from the picture, and overlapping the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position in the picture;
and determining the background picture overlapped with each target block as a target picture containing the target human body motion trail.
According to a second aspect of embodiments of the present application, there is provided a target picture generation apparatus, the apparatus including:
the searching module is used for searching at least one frame of picture containing the target human body from the stored human body data information when receiving the target human body picture;
the first determining module is used for determining a background picture of the target human body;
the superposition module is used for digging out a target block containing the target human body from each searched frame of picture, and superposing the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position in the picture;
and the second determining module is used for determining the background picture overlapped with each target block as a target picture containing the target human body motion track.
According to a third aspect of embodiments of the present application, there is provided an electronic device comprising a readable storage medium and a processor;
wherein the readable storage medium is for storing machine executable instructions;
the processor is configured to read the machine executable instructions on the readable storage medium and execute the instructions to implement the steps of the method of the first aspect.
By applying the embodiment of the application, when the target human body picture is received, at least one frame of picture containing the target human body is searched from the stored human body data information, the background picture of the target human body is determined, then the target block containing the target human body pair is scratched out of the picture for each searched frame of picture, and the target block is overlapped to the background picture, wherein the position of the target block in the background picture corresponds to the position in the picture, and finally the background picture overlapped with each target block is determined to be the target picture containing the target human body movement track.
Based on the above description, the searching efficiency can be improved by searching the stored human body data information for the picture containing the target human body instead of searching the whole video data collected by the camera. And the motion trail of the target human body is embodied by one picture instead of a section of concentrated video by matting out the target block containing the target human body from each frame of picture and adding the target block into the background picture, so that the storage space can be saved, the transmission bandwidth can be saved during transmission, and the time cost for reading by a user can be shortened.
Drawings
FIG. 1 is a flow chart of an embodiment of a target picture generation method according to an exemplary embodiment of the present application;
FIG. 2 is a hardware block diagram of an electronic device according to an exemplary embodiment of the present application;
fig. 3 is a block diagram of an embodiment of a target picture generating apparatus according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first message may also be referred to as a second message, and similarly, a second message may also be referred to as a first message, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
Currently, a video preview generated by a related technology is a video composed of a plurality of image frames in which a target human body exists, and a motion track of the target human body in a certain scene can be reflected through the video. However, since the video preview is only a concentrated video, the required storage space is still relatively large and the required transmission bandwidth is relatively large when transmitting the video preview as compared with the original video. In addition, in addition to the target human body, the video preview generated by the related technology may also have interference of other incoherent human bodies, and in some scenes, privacy protection of the incoherent human bodies is not facilitated.
Based on the above, when a target human body picture is received, at least one frame of picture containing the target human body is searched from stored human body data information, a background picture of the target human body is determined, then a target block containing the target human body pair is scratched out of the picture for each searched frame of picture, the target block is superimposed to the background picture, wherein the position of the target block in the background picture corresponds to the position in the picture, and finally the background picture superimposed with each target block is determined to be the target picture containing the target human body motion track.
Based on the above description, the searching efficiency can be improved by searching the stored human body data information for the picture containing the target human body instead of searching the whole video data collected by the camera. And the motion trail of the target human body is embodied by one picture instead of a section of concentrated video by matting out the target block containing the target human body from each frame of picture and adding the target block into the background picture, so that the storage space can be saved, the transmission bandwidth can be saved during transmission, and the time cost for reading by a user can be shortened.
The technical scheme of the present application is described in detail below with specific embodiments.
Fig. 1 is a flowchart of an embodiment of a target picture generating method according to an exemplary embodiment of the present application, where the target picture generating method may be applied to an electronic device, and the electronic device may communicate with a camera through a network, and an exemplary description will be given below using the electronic device as an NVR (Net Video Recorder, network hard disk recorder) device as an example. As shown in fig. 1, the target picture generation method includes the following steps:
step 101: and when receiving the target human body picture, searching at least one frame of picture containing the target human body from the stored human body data information.
Before step 101 is performed, human body data information needs to be generated and stored, including: a picture and body characteristic data contained in the picture.
In an embodiment, for the process of generating and storing the human body data information, when a detection start notification sent by a camera is received, a frame of picture is extracted from video data acquired by the camera as a background picture, the acquisition time of the background picture is closest to a time point carried by the detection start notification, and the background picture does not contain a human body, the time point is a time point when the camera detects a human body, after the detection start notification is received, a picture is extracted from video data acquired by the camera in real time, and when a detection stop notification sent by the camera is received, the picture is stopped being extracted, and the extracted multi-frame picture and the extracted background picture are stored as an event sequence, so that human body feature data contained in each frame of picture is determined and stored.
The camera can be arranged in a certain gate scene, in the monitoring process, whether a human body exists in the collected video data or not can be detected in real time through the human body detection module arranged on the camera, and when the human body is detected, a detection starting notification is immediately sent to the NVR equipment, so that the NVR equipment extracts a background picture from the collected video data based on the triggering of the detection starting notification. Since the acquired video data is stored before the human body is detected, the background picture extracted from the acquired video data does not contain the human body and only has scene background. After detecting the human body, the video data collected by the camera has the human body, so that after receiving the detection starting notification, the picture can be extracted from the video data collected by the camera in real time, and the human body exists in the extracted picture. The human body characteristic data contained in each frame of picture can be determined by sending each frame of picture to the intelligent processing chip arranged in the device, and the intelligent processing chip can identify the human body characteristic data contained in each frame of picture so as to improve the identification efficiency.
In an embodiment, for the process of extracting pictures from video data acquired in real time by a camera, the following two ways can be implemented:
the first implementation mode: and capturing a frame of picture from the video data acquired by the camera in real time at preset time intervals.
The preset time interval can be set according to the actual requirement of a user, and the captured pictures can be guaranteed to reflect the motion trail of the human body. Since the NVR device captures a frame of picture from video data acquired by the camera in real time at intervals, the captured picture may be either a key frame picture or a reference frame picture.
The second implementation mode: and extracting a key frame picture from video data acquired by the camera in real time.
The NVR equipment extracts key frame pictures from the video data, the content change in the key frame representation pictures is relatively large, and the content change in the reference frame representation pictures is relatively small, so that the key frame pictures represent relatively obvious human motion changes, and the extracted key frame pictures can clearly represent human motion tracks.
In an embodiment, for the process of step 101, the target human body feature data of the target human body picture may be extracted, then the human body feature data matched with the target human body feature data is found from the stored human body data information, and the picture corresponding to the found human body feature data is determined as the picture containing the target human body.
The human body library can be imported into the NVR device in advance, the human body library contains multi-frame target human body pictures, and a user can select one target human body picture from the human body library so as to trigger the process of searching at least one frame picture containing the target human body from stored human body data information. The extraction of the target human body characteristic data can be obtained by the identification of the intelligent processing chip by sending the target human body picture to the intelligent processing chip arranged on the device, so that the identification efficiency is improved.
In the process of generating the human body data information, the acquisition time of each frame of picture can be stored, so that when a user selects a target human body picture, the time range can be set, and when searching, the picture with the acquisition time belonging to the time range is searched only in the stored human body data information.
It should be further noted that, the NVR device may store only the video data of the period from when the human body is detected to when the human body disappears to the hard disk, so as to be used for a subsequent user to view the complete human body monitoring video.
Step 102: and determining the background picture of the target human body.
In an embodiment, an event sequence to which the target picture belongs may be determined, and a frame of background picture is selected from the determined event sequence as the background picture of the target human body.
The background picture with the earliest frame acquisition time can be selected from the background pictures contained in the event sequence to ensure that the scene background of the target human body appearing at the beginning is obtained.
In an exemplary scenario, it is assumed that the stored body data information includes an event sequence 1, an event sequence 2, and an event sequence 3, where the event sequence 1 includes 6 frames of pictures, the event sequence 2 includes 9 frames of pictures, and the event sequence 3 includes 8 frames of pictures, where the acquisition time of the background picture included in the event sequence 1 is earliest, the acquisition time of the background picture included in the event sequence 2 is next to the acquisition time of the background picture included in the event sequence 3 is latest. If 6 frames of pictures are found from the stored human body data information, wherein 5 frames of pictures are pictures contained in the event sequence 1, and the other 1 frame of pictures are pictures contained in the event sequence 3, the acquisition time of the background pictures contained in the event sequence 1 is earliest, so that the background pictures contained in the event sequence 1 can be selected.
Step 103: and aiming at each frame of searched picture, extracting a target block containing the target human body from the picture, overlapping the target block to the background picture, and determining the background picture overlapped with each target block as the target picture containing the motion trail of the target human body.
The searched pictures can be traversed according to the sequence from small to large in acquisition time, and buckling and overlapping operations are carried out on each traversed picture frame. The position of the target block in the background picture corresponds to the position in the picture.
It should be noted that the stored human body data information may be data when a human body appears in a scene monitored by one camera, so the above-mentioned target human body motion track refers to a motion track in the same scene. If the NVR device is connected with multiple paths of cameras, a human body data information table can be maintained for each path of camera, when a target picture is generated, a target picture can be generated for a scene monitored by each path of camera, and if the NVR device generates multiple target pictures for a certain target human body, the target human body appears in multiple scenes.
In the embodiment of the application, when a target human body picture is received, at least one frame of picture containing the target human body is searched from stored human body data information, a background picture of the target human body is determined, then a target block containing the target human body pair is scratched out of the picture for each searched frame of picture, the target block is superimposed on the background picture, wherein the position of the target block in the background picture corresponds to the position in the picture, and finally the background picture superimposed with each target block is determined to be a video picker containing the target human body motion track.
Based on the above description, the searching efficiency can be improved by searching the stored human body data information for the picture containing the target human body instead of searching the whole video data collected by the camera. And the motion trail of the target human body is embodied by one picture instead of a section of concentrated video by matting out the target block containing the target human body from each frame of picture and adding the target block into the background picture, so that the storage space can be saved, the transmission bandwidth can be saved during transmission, and the time cost for reading by a user can be shortened. And as only the target human body exists in the superimposed background picture and no other irrelevant human body interference exists, the privacy protection of irrelevant people is facilitated.
Fig. 2 is a hardware configuration diagram of an electronic device according to an exemplary embodiment of the present application, where the electronic device includes: a communication interface 201, a processor 202, a machine-readable storage medium 203, and a bus 204; wherein the communication interface 201, the processor 202, and the machine-readable storage medium 203 communicate with each other via a bus 204. The processor 202 may perform the target picture generation method described above by reading and executing machine executable instructions in the machine readable storage medium 203 corresponding to the control logic of the target picture generation method, the details of which are referred to in the above embodiments and are not further described herein.
The machine-readable storage medium 203 referred to in this application may be any electronic, magnetic, optical, or other physical storage device that can exist or store information, such as executable instructions, data, and the like. For example, a machine-readable storage medium may be: volatile memory, nonvolatile memory, or similar storage medium. In particular, the machine-readable storage medium 203 may be RAM (Radom Access Memory, random access memory), flash memory, a storage drive (e.g., hard drive), any type of storage disk (e.g., optical disk, DVD, etc.), or a similar storage medium, or a combination thereof.
Fig. 3 is a block diagram of an embodiment of a target picture generating apparatus according to an exemplary embodiment of the present application, where the target picture generating apparatus may be applied to an electronic device, and as shown in fig. 3, the target picture generating apparatus includes:
a searching module 310, configured to, when receiving a target human body picture, search at least one frame of picture containing the target human body from stored human body data information;
a first determining module 320, configured to determine a background picture of the target human body;
the superimposing module 330 is configured to, for each frame of the found picture, extract a target block including the target human body from the picture, and superimpose the target block onto the background picture, where a position of the target block in the background picture corresponds to a position in the picture;
the second determining module 340 is configured to determine the background picture superimposed with each target block as a target picture including the target human motion trail.
In an alternative implementation, the apparatus further comprises (not shown in fig. 3):
the human body data generation module is used for generating and storing the human body data information, and the human body data information comprises: a picture and human body characteristic data contained in the picture;
the searching module 310 is specifically configured to extract target human body feature data of the target human body picture; and searching human body characteristic data matched with the target human body characteristic data from the stored human body data information, and determining the picture corresponding to the searched human body characteristic data as a picture containing the target human body.
In an optional implementation manner, the human body data generating module is specifically configured to extract a frame of picture from video data acquired by a camera as a background picture when a detection start notification sent by the camera is received, where the acquisition time of the background picture is closest to a time point carried by the detection start notification and the background picture does not include a human body, and the time point is a time point when the camera detects the human body; after receiving the detection starting notification, extracting and storing pictures from video data acquired by the camera in real time; and when a detection stopping notification sent by the camera is received, stopping extracting pictures, storing the extracted multi-frame pictures and the background pictures as an event sequence, and determining and storing human body characteristic data contained in each frame of pictures.
In an optional implementation manner, the first determining module 320 is specifically configured to determine an event sequence to which the target picture belongs; and selecting a frame of background picture from the determined event sequence as the background picture of the target human body.
In an optional implementation manner, the human body data generating module is specifically configured to capture a frame of picture from video data collected by the camera in real time at intervals of a preset time interval in a process of extracting the picture from the video data collected by the camera in real time; or extracting a key frame picture from the video data acquired by the camera in real time.
The implementation process of the functions and roles of each unit in the above device is specifically shown in the implementation process of the corresponding steps in the above method, and will not be described herein again.
For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments. The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present application. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive existence, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing description of the preferred embodiments of the present invention is not intended to limit the invention to the precise form disclosed, and any modifications, equivalents, improvements and variations which fall within the spirit and principles of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. A target picture generation method, the method comprising:
generating and storing human body data information;
when a target human body picture is received, at least one frame of picture containing the target human body is searched from stored human body data information; the human body data information comprises a picture and human body characteristic data contained in the picture;
determining a background picture of the target human body;
aiming at each frame of searched picture, extracting a target block containing the target human body from the picture, and overlapping the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position in the picture;
determining the background picture overlapped with each target block as a target picture containing the target human body motion trail;
wherein the generating and storing of the human body data information includes:
when a detection starting notice sent by a camera is received, extracting a frame of picture from video data acquired by the camera as a background picture, wherein the acquisition time of the background picture is closest to the time point carried by the detection starting notice and does not contain a human body, and the time point is the time point when the camera detects the human body;
after receiving the detection starting notification, extracting a picture from video data acquired by the camera in real time;
and stopping extracting pictures when receiving detection stopping notification sent by the camera, storing the extracted multi-frame pictures and the background pictures as an event sequence, and determining and storing human body characteristic data contained in each frame of pictures.
2. The method according to claim 1, wherein the finding at least one frame of picture containing the target human body from the stored human body data information includes:
extracting target human body characteristic data of the target human body picture;
and searching human body characteristic data matched with the target human body characteristic data from the stored human body data information, and determining the picture corresponding to the searched human body characteristic data as a picture containing the target human body.
3. The method of claim 1, wherein determining the background picture of the target human body comprises:
determining an event sequence to which the searched picture belongs;
and selecting a frame of background picture from the determined event sequence as the background picture of the target human body.
4. The method of claim 1, wherein extracting pictures from video data acquired by the camera in real time comprises:
capturing a frame of picture from video data acquired by the camera in real time at preset time intervals; or,
and extracting a key frame picture from the video data acquired by the camera in real time.
5. A target picture generation apparatus, characterized in that the apparatus comprises:
the human body data generating module is used for generating and storing human body data information;
the searching module is used for searching at least one frame of picture containing the target human body from the stored human body data information when receiving the target human body picture; the human body data information comprises a picture and human body characteristic data contained in the picture;
the first determining module is used for determining a background picture of the target human body;
the superposition module is used for digging out a target block containing the target human body from each searched frame of picture, and superposing the target block to the background picture, wherein the position of the target block in the background picture corresponds to the position in the picture;
the second determining module is used for determining the background picture overlapped with each target block as a target picture containing the target human body motion track;
the human body data generation module is specifically configured to extract a frame of picture from video data acquired by a camera as a background picture when a detection start notification sent by the camera is received, wherein the acquisition time of the background picture is closest to a time point carried by the detection start notification and the background picture does not contain a human body, and the time point is a time point when the camera detects the human body; after receiving the detection starting notification, extracting and storing pictures from video data acquired by the camera in real time; and when a detection stopping notification sent by the camera is received, stopping extracting pictures, storing the extracted multi-frame pictures and the background pictures as an event sequence, and determining and storing human body characteristic data contained in each frame of pictures.
6. The apparatus according to claim 5, wherein the search module is specifically configured to extract target human feature data of the target human picture; and searching human body characteristic data matched with the target human body characteristic data from the stored human body data information, and determining the picture corresponding to the searched human body characteristic data as a picture containing the target human body.
7. The apparatus of claim 5, wherein the first determining module is specifically configured to determine an event sequence to which the found picture belongs; and selecting a frame of background picture from the determined event sequence as the background picture of the target human body.
8. The apparatus of claim 5, wherein the human body data generating module is specifically configured to capture a frame of picture from the video data collected by the camera in real time at preset time intervals during the process of extracting the picture from the video data collected by the camera in real time; or extracting a key frame picture from the video data acquired by the camera in real time.
9. An electronic device comprising a readable storage medium and a processor;
wherein the readable storage medium is for storing machine executable instructions;
the processor is configured to read the machine-executable instructions on the readable storage medium and execute the instructions to implement the steps of the method of any of claims 1-4.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156707A (en) * | 2011-02-01 | 2011-08-17 | 刘中华 | Video abstract forming and searching method and system |
| CN103037206A (en) * | 2012-12-14 | 2013-04-10 | 广东威创视讯科技股份有限公司 | Method and system of video transmission |
| CN104639994A (en) * | 2013-11-08 | 2015-05-20 | 杭州海康威视数字技术股份有限公司 | Video abstraction generating method, system and network storage equipment based on moving objects |
| CN106503687A (en) * | 2016-11-09 | 2017-03-15 | 合肥工业大学 | The monitor video system for identifying figures of fusion face multi-angle feature and its method |
| JP2018078540A (en) * | 2016-11-02 | 2018-05-17 | キヤノン株式会社 | Image processing apparatus, image processing method and program |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109598223A (en) * | 2018-11-26 | 2019-04-09 | 北京洛必达科技有限公司 | Method and apparatus based on video acquisition target person |
-
2018
- 2018-11-07 CN CN201811320634.XA patent/CN111160068B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156707A (en) * | 2011-02-01 | 2011-08-17 | 刘中华 | Video abstract forming and searching method and system |
| CN103037206A (en) * | 2012-12-14 | 2013-04-10 | 广东威创视讯科技股份有限公司 | Method and system of video transmission |
| CN104639994A (en) * | 2013-11-08 | 2015-05-20 | 杭州海康威视数字技术股份有限公司 | Video abstraction generating method, system and network storage equipment based on moving objects |
| JP2018078540A (en) * | 2016-11-02 | 2018-05-17 | キヤノン株式会社 | Image processing apparatus, image processing method and program |
| CN106503687A (en) * | 2016-11-09 | 2017-03-15 | 合肥工业大学 | The monitor video system for identifying figures of fusion face multi-angle feature and its method |
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|---|---|
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