CN104104952B - A kind of audio/video processing method and system for being adapted to mobile device storage and playing - Google Patents
A kind of audio/video processing method and system for being adapted to mobile device storage and playing Download PDFInfo
- Publication number
- CN104104952B CN104104952B CN201410379191.7A CN201410379191A CN104104952B CN 104104952 B CN104104952 B CN 104104952B CN 201410379191 A CN201410379191 A CN 201410379191A CN 104104952 B CN104104952 B CN 104104952B
- Authority
- CN
- China
- Prior art keywords
- picture
- video
- value
- frame
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Abstract
The invention discloses a kind of audio/video processing method for being adapted to mobile device storage and playing, including：By original video to be compressed, temporally frame is intercepted, and is formed and is pressed the tactic frame of video picture library of video playback time；Calculate the similitude difference between the picture in frame of video picture library；The similitude of adjacent video interframe in frame of video picture library is judged according to the similitude difference, only retain first frame of video in each section of similar video frame sequence, and reject frame of video similar to first frame of video in this section of similar video frame sequence, the valid frame of video properties can be represented in frame of video so as to extract, significantly the capacity of compression Video ＆ Audio；In video playback, by the picture in the valid frame picture library of video, according to its time frame position in original video to be compressed, according to the playing progress rate insert pictures of audio.Present invention also offers the audio frequency and video processing system for being adapted to mobile device storage accordingly with playing.
Description
Technical field
The invention belongs to instructional video compression technique area, more particularly, to one kind be adapted to mobile device storage with
The audio/video processing method and system of broadcasting.
Background technology
With continuing to develop for mobile learning and intelligent movable equipment, more mobile learning chances are provided for people.
Internet video courseware capacity is big, number is various, but mobile device capacity storage is limited, causes the study broadcasting of user's Online Video
Not smooth, mobile device offline video learns the problems such as quantity is few.There are many video compress instruments, such as form factory at present,
The portion capacity of video can be reduced, but the demand of instructional video on the mobile terminal device far can not be met.Current regards
Frequency tool of compression does not change the broadcast mode of video, does not reach the compression factor of instructional video.
The content of the invention
For the disadvantages described above or Improvement requirement of prior art, the invention provides one kind be adapted to mobile device storage with
The audio/video processing method of broadcasting, its object is to be compressed for instructional video, significantly reduces the capacity of instructional video,
So as to reach preferable fluency in learning in Online Video, and enable to mobile device storage is more to regard offline
Frequently, solve existing instructional video on-line study and play the problems such as not smooth, mobile device offline video study quantity is few.
To achieve these goals, according to one aspect of the present invention there is provided one kind be adapted to mobile device storage with
The audio/video processing method of broadcasting, methods described includes：
(1) by original video to be compressed, temporally frame is intercepted, and is formed and is pressed the tactic video of video playback time
Picture number in frame picture library p, frame of video picture library p is N；
(2) i=1, j=2 are set；
(3) the i-th pictures p (i) is added in the valid frame picture library of video；
(4) the jth pictures p (j) in frame of video picture library p and the i-th pictures p (i) similitude difference is calculated；
(5) if picture p (j) and p (i) similitude difference are less than default similarity threshold, and j ＜ N, then j=j+
1, go to step (4)；If picture p (j) and p (i) similitude difference is not less than default similarity threshold, and j ＜ N, then i=
J, j=j+1, go to step (3)；If j=N, the N pictures p (N) in frame of video picture library p is added into the effective of video
In frame picture library；
(6) audio in original video to be compressed is extracted, the parameter setting of extraction process sound intermediate frequency original is regarded with to be compressed
The parameter setting of frequency sound intermediate frequency is identical, so that the audio extracted is undistorted；
(7) in video playback, by the picture in the valid frame picture library of video, according to it in original video to be compressed
Time frame position, according to the playing progress rate insert pictures of audio.
In one embodiment of the invention, picture p (j) and picture p (i) similitude difference is in the step (4)
The Hamming distance of picture.
In one embodiment of the invention, fall into a trap nomogram piece p (j) and picture p (i) similitude of the step (4) is：
Picture p (j) and picture p (i) are subjected to yardstick diminution respectively, L × M picture p'(j is reduced into) and picture p'
(i)；
By the picture p'(j after diminution) and picture p'(i) it is converted into gray level image；
Respectively calculate picture p'(j) with picture p'(i) gray level image average gray valueWith
Calculate picture p (j) sequential value A (j)：By each pixel value in picture p (j) gray level image and its average gray
ValueCompare, if pixel value is more than average gray valueThe corresponding sequential value of the pixel is then designated as 1；If pixel value
No more than average gray valueThe corresponding sequential value of the pixel is then designated as 0, sequential value A (j) element number is L × M；
Calculate picture p (i) sequential value A (i)：By each pixel value in picture p (i) gray scale picture and its average gray
ValueCompare, if pixel value is more than average gray valueThe corresponding sequential value of the pixel is then designated as 1；If pixel value is not
More than average gray valueThe corresponding sequential value of the pixel is then designated as 0, sequential value A (i) element number is L × M；
The number of different elements between the sequential value A (j) and picture p (i) that compare picture p (j) sequential value A (i), by it
It is used as the similitude difference between picture p (j) and picture p (i).
Handled it is another aspect of this invention to provide that additionally providing a kind of audio frequency and video for being adapted to mobile device storage with playing
System, the system includes intercepting video frames module, counter initialization module, valid frame add module, similitude difference meter
Module, similitude judge module, audio extraction module and video playback module are calculated, wherein：
Intercepting video frames module, for by original video to be compressed, temporally frame to be intercepted, is formed when pressing video playback
Between tactic frame of video picture library p, the picture number in frame of video picture library p is N；
Counter initialization module, for setting i=1, j=2；
Valid frame add module, for the i-th pictures p (i) to be added in the valid frame picture library of video；
Similitude difference calculating module, for calculating the jth pictures p (j) in frame of video picture library p and the i-th pictures p
(i) similitude difference；
Similitude judge module, if the similitude difference for picture p (j) and p (i) is less than default similitude threshold
Value, and j ＜ N, then j=j+1, turns similitude difference calculating module；If picture p (j) and p (i) similitude difference is not less than
Default similarity threshold, and j ＜ N, then i=j, j=j+1, and turn valid frame add module；If j=N, by frame of video
N pictures p (N) in picture library p is added in the valid frame picture library of video；
Audio extraction module, for extracting the audio in original video to be compressed, the parameter setting of extraction process sound intermediate frequency
It is identical with the parameter setting of original video sound intermediate frequency to be compressed, so that the audio extracted is undistorted；
Video playback module, in video playback, the picture in the valid frame picture library of video to be treated according to it
The time frame position in original video is compressed, according to the playing progress rate insert pictures of audio.
In one embodiment of the invention, picture p (j) and the picture p (i) that the similitude difference calculating module is calculated
Similitude difference be picture Hamming distance.
In one embodiment of the invention, the similitude difference calculating module specifically include yardstick reduce submodule,
Gray scale conversion submodule, average gray value calculating sub module, the first sequence of pictures value calculating sub module, second picture sequential value meter
Operator module and comparison sub-module, wherein：
The yardstick reduces submodule, for picture p (j) and picture p (i) to be carried out into yardstick diminution respectively, be reduced into L ×
M picture p'(j) and picture p'(i)；
The gray scale conversion submodule, for by the picture p'(j after diminution) with picture p'(i) be converted into gray level image；
The average gray value calculating sub module, for calculating picture p'(j respectively) with picture p'(i) gray level image
Average gray valueWith
The first sequence of pictures value calculating sub module, the sequential value A (j) for calculating picture p (j)：By picture p (j)
Gray level image in each pixel value and its average gray valueCompare, if pixel value is more than average gray valueThen
The corresponding sequential value of the pixel is designated as 1；If pixel value is not more than average gray valueThen by the corresponding sequence of the pixel
Value is designated as 0, and sequential value A (j) element number is L × M；
The second picture sequential value calculating sub module, the sequential value A (i) for calculating picture p (i)：By picture p (i)
Gray scale picture in each pixel value and its average gray valueCompare, if pixel value is more than average gray valueThen will
The corresponding sequential value of the pixel is designated as 1；If pixel value is not more than average gray valueThen the corresponding sequential value of the pixel is remembered
For 0, sequential value A (i) element number is L × M；
Between the comparison sub-module, sequential value A (j) and picture p (i) the sequential value A (i) for comparing picture p (j)
The number of different elements, as the similitude difference between picture p (j) and picture p (i).
In general, by the contemplated above technical scheme of the present invention compared with prior art, with following beneficial effect
Really：
(1) present invention is using the similitude between consecutive frame in video, by extract the formation of the frame of video in video by
The tactic frame of video picture library of video playback time, and judge the similitude of adjacent video interframe in frame of video picture library,
So as to only retain first frame of video in each section of similar video frame sequence, and by this section of similar video frame sequence with first
The similar frame of video of frame of video is rejected, so that the valid frame of video properties can be represented by extracting in frame of video, is substantially reduced
The capacity of the quantity of frame of video, significantly compression Video ＆ Audio；In video playback, by the figure in the valid frame picture library of video
Piece, according to its time frame position in original video to be compressed, according to the playing progress rate insert pictures of audio, so as to up to
To the play quality of original video；
(2) by means of the invention it is possible to which the significantly capacity of compression Video ＆ Audio, is conducive to the storage of mobile device；Meanwhile, no
By being local broadcasting for mobile device, or mobile device online broadcasting, the smoothness of audio and video playing can be ensured
Property.
Brief description of the drawings
Fig. 1 is adapted to mobile device storage and the overall flow figure for the audio/video processing method played for the present invention；
Fig. 2 is Hamming distance-hash value algorithms flow chart in one embodiment of the invention；
Fig. 3 is two pictures comparison process schematic diagrames in one embodiment of the invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.As long as in addition, technical characteristic involved in each embodiment of invention described below
Not constituting conflict each other can just be mutually combined.
As shown in figure 1, the audio/video processing method that the present invention is adapted to mobile device storage and broadcasting is specially：
(1) by original video to be compressed, temporally frame is intercepted, and is formed and is pressed the tactic video of video playback time
Picture number in frame picture library p, frame of video picture library p is N；
(2) i=1, j=2 are set；
(3) the i-th pictures p (i) is added in the valid frame picture library of video；
(4) the jth pictures p (j) in frame of video picture library p and the i-th pictures p (i) similitude difference is calculated；
Specifically, the picture p (j) and picture p (i) similitude difference are the Hamming distance of picture.
Specifically, calculating picture p (j) and picture p (i) similitude is：
Picture p (j) and picture p (i) are subjected to yardstick diminution respectively, L × M picture p'(j is reduced into) and picture p'
(i)；
By the picture p'(j after diminution) and picture p'(i) it is converted into gray level image；
Respectively calculate picture p'(j) with picture p'(i) gray level image average gray valueWith
Calculate picture p (j) sequential value A (j)：By each pixel value in picture p (j) gray level image and its average gray
ValueCompare, if pixel value is more than average gray valueThe corresponding sequential value of the pixel is then designated as 1；If pixel value
No more than average gray valueThe corresponding sequential value of the pixel is then designated as 0, sequential value A (j) element number is L × M；
Calculate picture p (i) sequential value A (i)：By each pixel value in picture p (i) gray scale picture and its average gray
ValueCompare, if pixel value is more than average gray valueThe corresponding sequential value of the pixel is then designated as 1；If pixel value is not
More than average gray valueThe corresponding sequential value of the pixel is then designated as 0, sequential value A (i) element number is L × M；
The number of different elements between the sequential value A (j) and picture p (i) that compare picture p (j) sequential value A (i), by it
It is used as the similitude difference between picture p (j) and picture p (i).
For example, as shown in Fig. 2 original image is narrowed down into 8 × 8 (or 32 × 32), color simplification is then carried out,
Picture after diminution is converted into 64 grades of gray scale pictures, the average gray value of gray scale picture is then calculated, and by gray scale picture
Each pixel value is compared with average gray value, if pixel value is more than average gray value, and the corresponding sequential value of the pixel is remembered
For 1, if pixel value is not more than average gray value, the corresponding sequential value of the pixel is designated as 0, so as to obtain the sequence of picture
Value.
(5) if picture p (j) and p (i) similitude difference are less than default similarity threshold, and j ＜ N, then j=j+
1, go to step (4)；If picture p (j) and p (i) similitude difference is not less than default similarity threshold, and j ＜ N, then i=
J, j=j+1, go to step (3)；If j=N, the N pictures p (N) in frame of video picture library p is added into the effective of video
In frame picture library；
The specific similitude for judging picture p (j) and p (i) is as shown in figure 3, by picture p (j) sequential value A (j) and picture p
(i) sequential value A (i) is contrasted, it is determined that the number of different elements therebetween, obtains the Hamming distance of two images, sentence
Disconnected Hamming distance whether be more than predetermined threshold value (threshold values determines according to specific needs, generally can use 5-10, for example 5), if
Be more than, then it is dissimilar；If it is less, similar.
(6) audio in original video to be compressed is extracted, the parameter setting of extraction process sound intermediate frequency original is regarded with to be compressed
The parameter setting of frequency sound intermediate frequency is identical, so that the audio extracted is undistorted；
(7) in video playback, by the picture in the valid frame picture library of video, according to it in original video to be compressed
Time frame position, according to the playing progress rate insert pictures of audio.
Further, present invention also offers a kind of audio frequency and video processing system for being adapted to mobile device storage and playing,
The system includes intercepting video frames module, counter initialization module, valid frame add module, similitude mathematic interpolation mould
Block, similitude judge module, audio extraction module and video playback module, wherein：
Intercepting video frames module, for by original video to be compressed, temporally frame to be intercepted, is formed when pressing video playback
Between tactic frame of video picture library p, the picture number in frame of video picture library p is N；
Counter initialization module, for setting i=1, j=2；
Valid frame add module, for the i-th pictures p (i) to be added in the valid frame picture library of video；
Similitude difference calculating module, for calculating the jth pictures p (j) in frame of video picture library p and the i-th pictures p
(i) similitude difference；
Similitude judge module, if the similitude difference for picture p (j) and p (i) is less than default similitude threshold
Value, and j ＜ N, then j=j+1, turns similitude difference calculating module；If picture p (j) and p (i) similitude difference is not less than
Default similarity threshold, and j ＜ N, then i=j, j=j+1, and turn valid frame add module；If j=N, by frame of video
N pictures p (N) in picture library p is added in the valid frame picture library of video；
Audio extraction module, for extracting the audio in original video to be compressed, the parameter setting of extraction process sound intermediate frequency
It is identical with the parameter setting of original video sound intermediate frequency to be compressed, so that the audio extracted is undistorted；
Video playback module, in video playback, the picture in the valid frame picture library of video to be treated according to it
The time frame position in original video is compressed, according to the playing progress rate insert pictures of audio.
Further, the similitude difference for picture p (j) and the picture p (i) that the similitude difference calculating module is calculated is
The Hamming distance of picture.
Further, the similitude difference calculating module specifically include yardstick reduce submodule, gray scale conversion submodule,
Average gray value calculating sub module, the first sequence of pictures value calculating sub module, second picture sequential value calculating sub module and ratio
Compared with submodule, wherein：
The yardstick reduces submodule, for picture p (j) and picture p (i) to be carried out into yardstick diminution respectively, be reduced into L ×
M picture p'(j) and picture p'(i)；
The gray scale conversion submodule, for by the picture p'(j after diminution) with picture p'(i) be converted into gray level image；
The average gray value calculating sub module, for calculating picture p'(j respectively) with picture p'(i) gray level image
Average gray valueWith
The first sequence of pictures value calculating sub module, the sequential value A (j) for calculating picture p (j)：By picture p (j)
Gray level image in each pixel value and its average gray valueCompare, if pixel value is more than average gray valueThen
The corresponding sequential value of the pixel is designated as 1；If pixel value is not more than average gray valueThen by the corresponding sequence of the pixel
Value is designated as 0, and sequential value A (j) element number is L × M；
The second picture sequential value calculating sub module, the sequential value A (i) for calculating picture p (i)：By picture p (i)
Gray scale picture in each pixel value and its average gray valueCompare, if pixel value is more than average gray valueThen will
The corresponding sequential value of the pixel is designated as 1；If pixel value is not more than average gray valueThen the corresponding sequential value of the pixel is remembered
For 0, sequential value A (i) element number is L × M；
Between the comparison sub-module, sequential value A (j) and picture p (i) the sequential value A (i) for comparing picture p (j)
The number of different elements, as the similitude difference between picture p (j) and picture p (i).
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, it is not used to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the invention etc., it all should include
Within protection scope of the present invention.
Claims (6)
1. a kind of audio/video processing method for being adapted to mobile device storage and playing, it is characterised in that methods described includes：
(1) by original video to be compressed, temporally frame is intercepted, and is formed and is pressed the tactic frame of video figure of video playback time
Picture number in valut p, frame of video picture library p is N；
(2) i=1, j=2 are set；
(3) the i-th pictures p (i) is added in the valid frame picture library of video；
(4) the jth pictures p (j) in frame of video picture library p and the i-th pictures p (i) similitude difference is calculated；
(5) if picture p (j) and p (i) similitude difference is less than default similarity threshold, and j ＜ N, then j=j+1, turns
Step (4)；If picture p (j) and p (i) similitude difference is not less than default similarity threshold, and j ＜ N, then i=j, j
=j+1, goes to step (3)；If j=N, the N pictures p (N) in frame of video picture library p is added to the valid frame figure of video
In valut；
(6) extract in the audio in original video to be compressed, the parameter setting of extraction process sound intermediate frequency and original video to be compressed
The parameter setting of audio is identical, so that the audio extracted is undistorted；
(7) in video playback, by the picture in the valid frame picture library of video, according to its in original video to be compressed when
Between frame position, according to the playing progress rate insert pictures of audio.
2. the method as described in claim 1, it is characterised in that picture p (j) is similar to picture p's (i) in the step (4)
Property difference be picture Hamming distance.
3. method as claimed in claim 1 or 2, it is characterised in that the step (4) is fallen into a trap nomogram piece p (j) and picture p (i)
Similitude be specially：
Picture p (j) and picture p (i) are subjected to yardstick diminution respectively, L × M picture p'(j is reduced into) and picture p'(i)；
By the picture p'(j after diminution) and picture p'(i) it is converted into gray level image；
Respectively calculate picture p'(j) with picture p'(i) gray level image average gray valueWith
Calculate picture p (j) sequential value A (j)：By each pixel value in picture p (j) gray level image and its average gray valueCompare, if pixel value is more than average gray valueThe corresponding sequential value of the pixel is then designated as 1；If pixel value is little
In average gray valueThe corresponding sequential value of the pixel is then designated as 0, sequential value A (j) element number is L × M；
Calculate picture p (i) sequential value A (i)：By each pixel value in picture p (i) gray scale picture and its average gray valueCompare, if pixel value is more than average gray valueThe corresponding sequential value of the pixel is then designated as 1；If pixel value is little
In average gray valueThe corresponding sequential value of the pixel is then designated as 0, sequential value A (i) element number is L × M；
The number of different elements between the sequential value A (j) and picture p (i) that compare picture p (j) sequential value A (i), as
Similitude difference between picture p (j) and picture p (i).
4. a kind of audio frequency and video processing system for being adapted to mobile device storage and playing, it is characterised in that the system includes regarding
Frequency frame interception module, counter initialization module, valid frame add module, similitude difference calculating module, similitude judge mould
Block, audio extraction module and video playback module, wherein：
Intercepting video frames module, for temporally frame to be intercepted by original video to be compressed, forms suitable by video playback time
Picture number in the frame of video picture library p of sequence arrangement, frame of video picture library p is N；
Counter initialization module, for setting i=1, j=2；
Valid frame add module, for the i-th pictures p (i) to be added in the valid frame picture library of video；
Similitude difference calculating module, for calculating the jth pictures p (j) in frame of video picture library p and the i-th pictures p (i)
Similitude difference；
Similitude judge module, if the similitude difference for picture p (j) and p (i) is less than default similarity threshold, and j
＜ N, then j=j+1, turns similitude difference calculating module；If picture p (j) and p (i) similitude difference is not less than default
Similarity threshold, and j ＜ N, then i=j, j=j+1, and turn valid frame add module；If j=N, by frame of video picture library p
In N pictures p (N) add video valid frame picture library in；
Audio extraction module, for extracting the audio in original video to be compressed, the parameter setting of extraction process sound intermediate frequency is with treating
The parameter setting for compressing original video sound intermediate frequency is identical, so that the audio extracted is undistorted；
Video playback module, in video playback, by the picture in the valid frame picture library of video, according to it to be compressed
Time frame position in original video, according to the playing progress rate insert pictures of audio.
5. system as claimed in claim 4, it is characterised in that the picture p (j) that the similitude difference calculating module is calculated with
Picture p (i) similitude difference is the Hamming distance of picture.
6. the system as described in claim 4 or 5, it is characterised in that the similitude difference calculating module specifically includes yardstick
Reduce submodule, gray scale conversion submodule, average gray value calculating sub module, the first sequence of pictures value calculating sub module, second
Sequence of pictures value calculating sub module and comparison sub-module, wherein：
The yardstick reduces submodule, for picture p (j) and picture p (i) to be carried out into yardstick diminution respectively, is reduced into L × M's
Picture p'(j) and picture p'(i)；
The gray scale conversion submodule, for by the picture p'(j after diminution) with picture p'(i) be converted into gray level image；
The average gray value calculating sub module, for calculating picture p'(j respectively) with picture p'(i) gray level image be averaged
Gray valueWith
The first sequence of pictures value calculating sub module, the sequential value A (j) for calculating picture p (j)：By picture p (j) ash
Each pixel value spent in image and its average gray valueCompare, if pixel value is more than average gray valueThen by the picture
The corresponding sequential value of element is designated as 1；If pixel value is not more than average gray valueThen the corresponding sequential value of the pixel is designated as
0, sequential value A (j) element number are L × M；
The second picture sequential value calculating sub module, the sequential value A (i) for calculating picture p (i)：By picture p (i) ash
Each pixel value spent in picture and its average gray valueCompare, if pixel value is more than average gray valueThen by the picture
The corresponding sequential value of element is designated as 1；If pixel value is not more than average gray valueThe corresponding sequential value of the pixel is then designated as 0,
Sequential value A (i) element number is L × M；
It is different between the comparison sub-module, the sequential value A (i) for the sequential value A (j) and picture p (i) that compare picture p (j)
The number of element, as the similitude difference between picture p (j) and picture p (i).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410379191.7A CN104104952B (en) | 2014-08-01 | 2014-08-01 | A kind of audio/video processing method and system for being adapted to mobile device storage and playing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410379191.7A CN104104952B (en) | 2014-08-01 | 2014-08-01 | A kind of audio/video processing method and system for being adapted to mobile device storage and playing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104104952A CN104104952A (en) | 2014-10-15 |
| CN104104952B true CN104104952B (en) | 2017-08-25 |
Family
ID=51672711
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410379191.7A Active CN104104952B (en) | 2014-08-01 | 2014-08-01 | A kind of audio/video processing method and system for being adapted to mobile device storage and playing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104104952B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108038436A (en) * | 2017-12-05 | 2018-05-15 | 奕响（大连）科技有限公司 | A kind of similar decision method of local pixel gray scale picture |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107483859B (en) * | 2014-12-10 | 2020-05-26 | 广东技安科技有限公司 | Security monitoring video storage and playback method capable of rapidly calling security event pictures |
| CN108632668A (en) * | 2018-05-04 | 2018-10-09 | 百度在线网络技术（北京）有限公司 | Method for processing video frequency and device |
| CN110971811B (en) * | 2018-09-30 | 2022-11-15 | 中兴通讯股份有限公司 | Image screening method, system, terminal and computer readable storage medium |
| CN110267040A (en) * | 2019-06-27 | 2019-09-20 | 国网山东省电力公司建设公司 | A kind of method for compressing image based on video flow detection |
| CN110879967B (en) * | 2019-10-16 | 2023-02-17 | 厦门美柚股份有限公司 | Video content repetition judgment method and device |
| CN111913641A (en) * | 2020-07-01 | 2020-11-10 | 智童时刻（厦门）科技有限公司 | Method and system for realizing picture phonetization |
| CN111800674A (en) * | 2020-08-12 | 2020-10-20 | 国网吉林省电力有限公司吉林供电公司 | Enterprise training monitoring video abstract generation method based on difference change operator |
| CN115209121B (en) * | 2022-07-14 | 2024-03-15 | 江苏龙威中科技术有限公司 | Full-range simulation system and method with intelligent integration function |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101162470A (en) * | 2007-11-16 | 2008-04-16 | 北京交通大学 | Video frequency advertisement recognition method based on layered matching |
| CN101710334A (en) * | 2009-12-04 | 2010-05-19 | 大连理工大学 | Large-scale image library retrieving method based on image Hash |
| CN101729898A (en) * | 2009-11-16 | 2010-06-09 | 中国人民解放军国防科学技术大学 | Video coding and decoding methods and devices |
| CN103605666A (en) * | 2013-10-28 | 2014-02-26 | 复旦大学 | Video copying detection method for advertisement detection |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8849044B2 (en) * | 2011-01-24 | 2014-09-30 | Alcatel Lucent | Method and apparatus for comparing videos |
-
2014
- 2014-08-01 CN CN201410379191.7A patent/CN104104952B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101162470A (en) * | 2007-11-16 | 2008-04-16 | 北京交通大学 | Video frequency advertisement recognition method based on layered matching |
| CN101729898A (en) * | 2009-11-16 | 2010-06-09 | 中国人民解放军国防科学技术大学 | Video coding and decoding methods and devices |
| CN101710334A (en) * | 2009-12-04 | 2010-05-19 | 大连理工大学 | Large-scale image library retrieving method based on image Hash |
| CN103605666A (en) * | 2013-10-28 | 2014-02-26 | 复旦大学 | Video copying detection method for advertisement detection |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108038436A (en) * | 2017-12-05 | 2018-05-15 | 奕响（大连）科技有限公司 | A kind of similar decision method of local pixel gray scale picture |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104104952A (en) | 2014-10-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104104952B (en) | A kind of audio/video processing method and system for being adapted to mobile device storage and playing | |
| JP5492087B2 (en) | Content-based image adjustment | |
| CN102884536B (en) | The colour of skin and feature detection for video conference compression | |
| CN112954312B (en) | Non-reference video quality assessment method integrating space-time characteristics | |
| CN104378635B (en) | The coding method of video interested region based on microphone array auxiliary | |
| CN102340676A (en) | Method and device for automatically recognizing 3D video formats | |
| WO2021098616A1 (en) | Motion posture recognition method, motion posture recognition apparatus, terminal device and medium | |
| US20160134785A1 (en) | Video and audio processing based multimedia synchronization system and method of creating the same | |
| CN110782445A (en) | No-reference image quality evaluation method and system | |
| CN110620924B (en) | Method and device for processing coded data, computer equipment and storage medium | |
| CN104320670A (en) | Summary information extracting method and system for network video | |
| CN111047543A (en) | Image enhancement method, device and storage medium | |
| CN103607635A (en) | Method, device and terminal for caption identification | |
| CN103945140A (en) | Method and system for generating video captions | |
| WO2018153161A1 (en) | Video quality evaluation method, apparatus and device, and storage medium | |
| CN105791979A (en) | Video file processing method and display device | |
| CN108985244B (en) | Television program type identification method and device | |
| CN114531564A (en) | Processing method and electronic equipment | |
| CN105681897B (en) | A kind of commercial detection method and system | |
| CN112601120B (en) | Subtitle display method and device | |
| CN104462099B (en) | A kind of information processing method and electronic equipment | |
| CN102905054B (en) | A kind of video synchronization method compared based on image multi-dimensional characteristic value | |
| KR102650138B1 (en) | Display apparatus, method for controlling thereof and recording media thereof | |
| CN103475912A (en) | Viewing analysis method and system based on video characteristics and user information | |
| CN110708600A (en) | Method and apparatus for identifying valid viewers of a television |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |