CN110248182A - A kind of scene segment lens detection method - Google Patents
A kind of scene segment lens detection method Download PDFInfo
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- CN110248182A CN110248182A CN201910468634.2A CN201910468634A CN110248182A CN 110248182 A CN110248182 A CN 110248182A CN 201910468634 A CN201910468634 A CN 201910468634A CN 110248182 A CN110248182 A CN 110248182A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/02—Diagnosis, testing or measuring for television systems or their details for colour television signals
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- Television Signal Processing For Recording (AREA)
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Abstract
The invention discloses a kind of scene segment lens detection methods, including video frame partitioning pretreatment, calculating blocked histogram, acquisition blocked histogram related coefficient, successive frame to judge four steps.The present invention determines whether two frame pictures are a camera lens, editorial staff is facilitated to carry out scene shot segmentation to material by judging that image histogram related coefficient is whether in threshold range between every two frame.
Description
Technical field
The invention belongs to field of video processing more particularly to a kind of scene segment lens detection methods.
Background technique
In video editing process, when editorial staff finds camera lens picture in material, need to take a significant amount of time to big
It measures camera lens picture and carries out artificial cutting, in order to mitigate the workload of editorial staff, a material is pressed camera lens scene automatically and is carried out
Segmentation, then just needing a kind of scene segment lens detection method.
Summary of the invention
It is an object of the present invention in view of the above-mentioned problems, propose a kind of scene segment lens detection method.
A kind of scene segment lens detection method, which comprises the steps of:
S1: video frame partitioning pretreatment;
S2: blocked histogram is calculated;
S3: blocked histogram related coefficient is obtained;
S4: successive frame judgement.
The video frame partitioning pretreatment includes video material decoding and frame picture piecemeal.
The frame picture piecemeal is that each frame image of decoding video is divided into M*N block.
Further, a kind of scene segment lens detection method, the calculating blocked histogram includes following sub-step:
S21: the YUV color space and hsv color space of each block of image are obtained;
S22: the histogram of each piece of image Y-component and H-S component is calculated.
Further, a kind of scene segment lens detection method, the acquisition blocked histogram related coefficient include:
S31: the histogram related coefficient of corresponding blocks Y-component in two field pictures is calculated, the correlation matrix of Y-component is obtained;
S32: the histogram related coefficient of corresponding blocks H-S component in two field pictures is calculated, the related coefficient square of H-S component is obtained
Battle array;
Further include the steps that calculating correlation matrix average value after the acquisition blocked histogram related coefficient, wherein Y points
Amount correlation matrix average value is denoted as corr1, and the correlation matrix average value of H-S component is denoted as corr2
Further, a kind of scene segment lens detection method, the successive frame judgement includes following sub-step:
S41: the histogram related coefficient corr of two field pictures corresponding blocks is calculated;
S42: judge whether two frames are successive frame according to related coefficient.
The histogram related coefficient corr for calculating two field pictures corresponding blocks includes following sub-step:
S411: preset first threshold value T1;
S412: judging the size relation of corr1 Yu first threshold T1, if corr1 is less than T1, corr is taken in corr1 and corr2
The larger value;Otherwise corr=corr1 is taken.
Further, a kind of scene segment lens detection method, it is described to judge whether two frames are continuous according to related coefficient
Frame includes, and calculates the histogram coefficient for corresponding to piecemeal between all two frames, result is normalized and inverted, if adjacent two
For value between frame within the scope of preset second threshold T2, two frames are successive frame;Otherwise, two frames are not successive frame.
Beneficial effects of the present invention: the present invention is by judging that whether image histogram related coefficient is in threshold value between every two frame
In range, determine whether two frame pictures are a camera lens, editorial staff is facilitated to carry out scene shot segmentation to material.
Detailed description of the invention
Fig. 1 is scene segment lens detection method flow diagram.
Specific embodiment
For a clearer understanding of the technical characteristics, objects and effects of the present invention, this hair of Detailed description of the invention is now compareed
Bright specific embodiment.
In the present embodiment, scene segment shot detection processes are as follows:
Step 1: material decoding
Step 2: decoded each frame frame is divided into M*N block, and calculates separately the histogram of every piece of Y-component.
Step 3: corresponding blocks histogram related coefficient is calculated, correlation matrix is obtained, by being averaged for correlation matrix
Value is used as frame difference measurement standard, is denoted as corr1;
Step 4: setting first threshold T1 judges whether corr1 < T1 meets, if satisfied, then calculating the histogram of every piece of H-S component
Figure related coefficient, is denoted as corr2, takes corr=max(corr1, corr2);If not satisfied, then taking corr=corr1;
Step 5: the blocked histogram related coefficient in video between all two frames is successively calculated, result is normalized simultaneously
It is inverted;
Step 6: successively taking the value between two frames to judge whether within the scope of second threshold T2, if, be expressed as between two frames be
One successive frame, as a camera lens, on the contrary it is next camera lens.
The present invention determines that two frames are drawn by judging that image histogram related coefficient is whether in threshold range between every two frame
Whether face is a camera lens, and editorial staff is facilitated to carry out scene shot segmentation to material.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (7)
1. a kind of scene segment lens detection method, which comprises the steps of:
S1: video frame partitioning pretreatment;
S2: blocked histogram is calculated;
S3: blocked histogram related coefficient is obtained;
S4: successive frame judgement.
2. a kind of scene segment lens detection method according to claim 1, which is characterized in that the video frame piecemeal is pre-
Processing includes video material decoding and frame picture piecemeal.
3. a kind of scene segment lens detection method according to claim 2, which is characterized in that the frame picture piecemeal is
Each frame image of decoding video is divided into M*N block.
4. a kind of scene segment lens detection method according to claim 1, which is characterized in that the calculating piecemeal histogram
Figure includes following sub-step:
S21: the YUV color space and hsv color space of each block of image are obtained;
S22: the histogram of each piece of image Y-component and H-S component is calculated.
5. a kind of scene segment lens detection method according to claim 1, which is characterized in that the acquisition piecemeal histogram
Figure related coefficient includes:
S31: the histogram related coefficient of corresponding blocks Y-component in two field pictures is calculated, the correlation matrix of Y-component is obtained;
S32: the histogram related coefficient of corresponding blocks H-S component in two field pictures is calculated, the related coefficient square of H-S component is obtained
Battle array;
A kind of scene segment lens detection method according to claim 5, which is characterized in that the acquisition blocked histogram
Further include the steps that calculating correlation matrix average value after related coefficient, wherein Y-component correlation matrix average value note
Correlation matrix average value for corr1, H-S component is denoted as corr2
A kind of scene segment lens detection method according to claim 1, which is characterized in that successive frame judgement includes
Following sub-step:
S41: the histogram related coefficient corr of two field pictures corresponding blocks is calculated;
S42: judge whether two frames are successive frame according to related coefficient.
6. a kind of scene segment lens detection method according to claim 6,7, which is characterized in that two frame figures of the calculating
As the histogram related coefficient corr of corresponding blocks includes following sub-step:
S411: preset first threshold value T1;
S412: judging the size relation of corr1 Yu first threshold T1, if corr1 is less than T1, corr is taken in corr1 and corr2
The larger value;Otherwise corr=corr1 is taken.
7. a kind of scene segment lens detection method according to claim 7, which is characterized in that described according to related coefficient
Judge whether two frames are that successive frame includes, calculate the histogram coefficient for corresponding to piecemeal between all two frames, normalizing is carried out to result
Change and inverted, if the value between adjacent two frame, within the scope of preset second threshold T2, two frames are successive frame;Otherwise, two frame
It is not successive frame.
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CN101917643A (en) * | 2010-07-09 | 2010-12-15 | 清华大学 | Method and device for detecting lens in real time in fully automatic two-dimensional (2D) to three-dimensional (3D) technology |
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