CN107347153A - The quality evaluating method of longitude and latitude figure panoramic video - Google Patents

The quality evaluating method of longitude and latitude figure panoramic video Download PDF

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Publication number
CN107347153A
CN107347153A CN201610916893.3A CN201610916893A CN107347153A CN 107347153 A CN107347153 A CN 107347153A CN 201610916893 A CN201610916893 A CN 201610916893A CN 107347153 A CN107347153 A CN 107347153A
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latitude
frame
longitude
quality
panoramic video
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CN107347153B (en
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刘�东
吴仕林
陈志波
李厚强
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University of Science and Technology of China USTC
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University of Science and Technology of China USTC
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/30—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability
    • H04N19/36—Scalability techniques involving formatting the layers as a function of picture distortion after decoding, e.g. signal-to-noise [SNR] scalability

Abstract

The invention discloses a kind of quality evaluating method of longitude and latitude figure panoramic video, including：For the panoramic video of two longitude and latitude bitmap-formats to be evaluated with as reference, respectively carry out each frame and divide latitude down-sampling, obtain corresponding two irregular shape videos；Mean square error, the quality and oeverall quality frame by frame between two irregular shape videos are calculated frame by frame, so as to realize the quality evaluation of longitude and latitude figure panoramic video.The advantages of above method is：1. consider the geometry deformation changed between sphere and longitude and latitude figure；2. all information on longitude and latitude figure are considered as far as possible.Therefore, the present invention is better than traditional PSNR and S PSNR.

Description

The quality evaluating method of longitude and latitude figure panoramic video
Technical field
The present invention relates to video quality evaluation technical field, more particularly to a kind of quality evaluation side of longitude and latitude figure panoramic video Method.
Background technology
With the progress of video acquisition and treatment technology, panoramic video starts to step into the life of people.Panoramic video It is centered on video camera, video record simultaneously obtained from is carried out to the scenery at each visual angle.People are in viewing panoramic video When, it can arbitrarily switch visual angle, it is seemingly on the spot in person.Compared with traditional two dimensional surface video, panoramic video can give user Preferably experience and feeling of immersion are brought, is the indispensable part of following virtual reality technology.
But the original data volume of panoramic video is more much bigger than conventional two-dimensional planar video, there is an urgent need to efficient video Compression method.In order to weigh the performance of video compress, it is necessary to compare the difference between the video after compression and the video before compression (distortion), i.e., the video after being compressed using the video before compression as reference pair carry out quality evaluation.
Substantially, what panoramic video recorded is the video information on sphere.Because sphere is not easy to represent, panoramic video is general Expressed using longitude and latitude bitmap-format.Longitude and latitude figure by the point of sphere according to its longitude, dimension map to two dimensional surface, for example, through Degree is mapped as row coordinate, latitude is mapped as row coordinate, so as to be rectangle plane by development of a sphere.The video of longitude and latitude bitmap-format can be with Coding is directly compressed using the encoder of traditional two dimensional surface video.
For conventional two-dimensional planar video, there is reference mass evaluation that Y-PSNR (PSNR) is commonly used.But PSNR pairs The video of longitude and latitude bitmap-format is less reasonable, because longitude and latitude figure compares sphere there occurs very big geometry deformation, closer to the two poles of the earth Region is stretched bigger, and PSNR gives same weight for diverse location in plane, it is impossible to accurately embodies sphere The distortion of itself.
A kind of improved sphere Y-PSNR (S-PSNR) is researched and proposed, this method equably takes one on sphere A little positions, these positions are mapped on longitude and latitude figure, and only calculate the original video on these positions and the video after compression it Between distortion.Although so doing and solving the problems, such as geometry deformation, limited on sphere has only been taken to click through due to S-PSNR Row calculates, and has in fact only used a part of region on longitude and latitude figure, and ignores the distortion in other regions.
The content of the invention
It is an object of the invention to provide a kind of quality evaluating method of longitude and latitude figure panoramic video, so as to pair warp and weft bitmap-format Panoramic video carries out objective metric with the difference (distortion) before compression upon compression, and then helps to optimize panoramic video compression.
The purpose of the present invention is achieved through the following technical solutions：
A kind of quality evaluating method of longitude and latitude figure panoramic video, including：
For the panoramic video of two longitude and latitude bitmap-formats to be evaluated with as reference, respectively carry out each frame and divide latitude Down-sampling, obtain corresponding two irregular shape videos；
Mean square error, the quality and oeverall quality frame by frame between two irregular shape videos are calculated frame by frame, so as to real The quality evaluation of existing longitude and latitude figure panoramic video.
Carrying out each frame divides latitude down-sampling to include：
Mapping relations according to sphere to longitude and latitude figure, the over-sampling rate of every latitude is calculated, further according to over-sampling rate It is reciprocal that down-sampling is carried out to every latitude.
It is described calculate every latitude over-sampling rate the step of include：
With row coordinate representation latitude, branch's down-sampling is carried out；Assuming that the height of longitude and latitude figure is N, latitude be from -90 degree to+ 90 degree, then latitude θ corresponding to the i-th rowiFor：
θi=(180 × i-90 × N-90)/(N-1), i=1,2 ..., N
Assuming that the sample rate of position is 1 under the line, then in latitude θiPosition, over-sampling rate is 1/cos (θi)。
It is described that every latitude progress down-sampling is included according to the reciprocal of over-sampling rate：
Assuming that the width of longitude and latitude figure is M, then need M pixel being down sampled to round (M*cos (θi)) individual pixel, its Middle round represents to round；
Down-sampling is realized by linear interpolation or cubic interpolation；Wherein, linear interpolation process is as follows：
Order, K=round (M*cos (θi)), the value of original M pixel is respectively x (1) ..., x (M), the value point after interpolation Not Wei y (1) ..., y (K), then have：
Y (j)=x (j × M/K), j=1,2 ..., K；
If j × M/K is integer, known to corresponding value；
Otherwise, a=floor (j × M/K) is made, b=ceil (j × M/K), floor and ceil are to remove whole and take respectively It is whole, then have：
Y (j)=(j × M/K-a) × x (b)+(b-j × M/K) × x (a).
Mean square error, quality frame by frame and the oeverall quality calculated frame by frame between two irregular shape videos includes：
Assuming that in the current frame, the difference of pixel value is d corresponding to the i-th row jth row of two irregular shape videosij；
Then mean square error RMSE is：
RMSE=sqrt ((ΣI=1..NΣJ=1..round (M*cos (θi))dij 2)/(ΣI=1..Nround(M*cos(θi))))
Wherein, sqrt represents extraction of square root, θiFor latitude value corresponding to the i-th row；
Then quality Q corresponding to present frame is：
Q=10*log10(c2/RMSE)；
Wherein, c is constant；
Then the oeverall quality of video is averaging to obtain by quality frame by frame；Or mean square error is averaging by mean square error frame by frame Difference, then bring above-mentioned quality into and ask for formula to calculate oeverall quality.
As seen from the above technical solution provided by the invention, it is an advantage of the invention that：1. consider sphere and longitude and latitude The geometry deformation changed between figure；2. all information on longitude and latitude figure are considered as far as possible.Therefore, the present invention is better than traditional PSNR and S-PSNR.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment Accompanying drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this For the those of ordinary skill in field, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings Accompanying drawing.
Fig. 1 is a kind of flow chart of the quality evaluating method of longitude and latitude figure panoramic video provided in an embodiment of the present invention；
Fig. 2 is panoramic video schematic diagram provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of a certain frame of panoramic video of longitude and latitude bitmap-format provided in an embodiment of the present invention；
Fig. 4 is that the panoramic video of pair warp and weft bitmap-format provided in an embodiment of the present invention obtained after branch's down-sampling The schematic diagram of a certain frame of irregular shape video.
Embodiment
With reference to the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Ground describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.Based on this The embodiment of invention, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made Example, belongs to protection scope of the present invention.
The embodiment of the present invention provides a kind of quality evaluating method of longitude and latitude figure panoramic video, as shown in figure 1, it is mainly wrapped Include：
Step 11, the panoramic video for two longitude and latitude bitmap-formats to be evaluated with as reference, are respectively carried out each Frame divides latitude down-sampling, obtains corresponding two irregular shape videos.
In the embodiment of the present invention, the mapping relations according to sphere to longitude and latitude figure, the over-sampling rate of every latitude is calculated, then Reciprocal according to over-sampling rate carries out down-sampling to every latitude.Detailed process is as follows：
1) the step of over-sampling rate for calculating every latitude, includes：
With row coordinate representation latitude, branch's down-sampling is carried out；Assuming that the height of longitude and latitude figure is N, latitude be from -90 degree to+ 90 degree, then latitude θ corresponding to the i-th rowiFor：
θi=(180 × i-90 × N-90)/(N-1), i=1,2 ..., N
According to sphere calculation formula, θiThe sphere circumference of position is proportional to Rcos (θi), wherein R is the radius of ball；
Assuming that the sample rate of position is 1 under the line, then in latitude θiPosition, over-sampling rate is 1/cos (θi)。
2) every latitude progress down-sampling is included according to the reciprocal of over-sampling rate：
Assuming that the width of longitude and latitude figure is M, then need M pixel being down sampled to round (M*cos (θi)) individual pixel, its Middle round represents to round；
Down-sampling can be realized by linear interpolation or cubic interpolation；Wherein, linear interpolation process is as follows：
Order, K=round (M*cos (θi)), the value of original M pixel is respectively x (1) ..., x (M), the value point after interpolation Not Wei y (1) ..., y (K), then have：
Y (j)=x (j × M/K), j=1,2 ..., K；
If j × M/K is integer, known to corresponding value；
Otherwise, a=floor (j × M/K) is made, b=ceil (j × M/K), floor and ceil are to remove whole and take respectively It is whole, then have：
Y (j)=(j × M/K-a) × x (b)+(b-j × M/K) × x (a).
It will be understood to those skilled in the art that linear interpolation or cubic interpolation mode except being used in embodiment, Other conventional Downsapling methods can also be used.
As shown in Fig. 2 it is panoramic video schematic diagram；Fig. 3 is the schematic diagram of a certain frame of panoramic video of longitude and latitude bitmap-format；Figure The signal of a certain frame of the 4 irregular shape videos obtained later for the panoramic video progress branch down-sampling of pair warp and weft bitmap-format Figure.
It will be understood by those skilled in the art that the panoramic video of two longitude and latitude bitmap-formats to be evaluated with as reference Handled using aforesaid way.
It will be understood by those skilled in the art that the longitude and latitude figure panoramic video as reference, longitude and latitude figure typically to be evaluated The prototype version of panoramic video.For example, in the compression of longitude and latitude figure panoramic video, the video before compression is used as reference, after compression The video of reconstruction carries out quality evaluation.
Step 12, the frame by frame mean square error between two irregular shape videos of calculating, quality and oeverall quality frame by frame, So as to realize the quality evaluation of longitude and latitude figure panoramic video.
Assuming that in the current frame, the difference of pixel value is d corresponding to the i-th row jth row of two irregular shape videosij；
Then mean square error RMSE is：
RMSE=sqrt ((ΣI=1..NΣJ=1..round (M*cos (θi))dij 2)/(ΣI=1..Nround(M*cos(θi))))
Wherein, sqrt represents extraction of square root, θiFor latitude value corresponding to the i-th row；
Then quality Q corresponding to present frame is：
Q=10*log10(c2/RMSE)；
Wherein, c is constant；
Then the oeverall quality of video is averaging to obtain by quality frame by frame；Or mean square error is averaging by mean square error frame by frame Difference, then bring above-mentioned quality into and ask for formula to calculate oeverall quality, i.e., the RMSE of above formula, final meter are substituted with Averaged Square Error of Multivariate To Q be expressed as the oeverall quality of video.
It will be understood to those skilled in the art that said process can be to two videos after down-sampling, point different face The pixel value of color (such as red, green, blue) calculates mean square error and quality respectively, or divides brightness, colourity to calculate mean square error respectively Difference and quality, etc..
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment can To be realized by software, the mode of necessary general hardware platform can also be added by software to realize.Based on such understanding, The technical scheme of above-described embodiment can be embodied in the form of software product, the software product can be stored in one it is non-easily In the property lost storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.), including some instructions are causing a computer to set Standby (can be personal computer, server, or network equipment etc.) performs the method described in each embodiment of the present invention.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto, Any one skilled in the art is in the technical scope of present disclosure, the change or replacement that can readily occur in, It should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claims Enclose and be defined.

Claims (5)

  1. A kind of 1. quality evaluating method of longitude and latitude figure panoramic video, it is characterised in that including：
    For the panoramic video to be evaluated with as the two longitude and latitude bitmap-formats referred to, respectively carry out each frame and divide under latitude to adopt Sample, obtain corresponding two irregular shape videos；
    Mean square error, the quality and oeverall quality frame by frame between two irregular shape videos are calculated frame by frame, so as to realize warp The quality evaluation of latitude figure panoramic video.
  2. 2. the quality evaluating method of longitude and latitude figure panoramic video according to claim 1, it is characterised in that carry out each frame point Latitude down-sampling includes：
    Mapping relations according to sphere to longitude and latitude figure, the over-sampling rate of every latitude is calculated, further according to the inverse of over-sampling rate Down-sampling is carried out to every latitude.
  3. 3. the quality evaluating method of longitude and latitude figure panoramic video according to claim 2, it is characterised in that described to calculate often The step of over-sampling rate of bar latitude, includes：
    With row coordinate representation latitude, branch's down-sampling is carried out；Assuming that the height of longitude and latitude figure is N, latitude is spent from -90 degree to+90, Then latitude θ corresponding to the i-th rowiFor：
    θi=(180 × i-90 × N-90)/(N-1), i=1,2 ..., N
    Assuming that the sample rate of position is 1 under the line, then in latitude θiPosition, over-sampling rate is 1/cos (θi)。
  4. 4. the quality evaluating method of longitude and latitude figure panoramic video according to claim 3, it is characterised in that described to be adopted according to mistake The reciprocal of sample rate includes to every latitude progress down-sampling：
    Assuming that the width of longitude and latitude figure is M, then need M pixel being down sampled to round (M*cos (θi)) individual pixel, wherein Round represents to round；
    Down-sampling is realized by linear interpolation or cubic interpolation；Wherein, linear interpolation process is as follows：
    Order, K=round (M*cos (θi)), the value of original M pixel is respectively x (1) ..., x (M), and the value after interpolation is respectively y (1) ..., y (K), then have：
    Y (j)=x (j × M/K), j=1,2 ..., K；
    If j × M/K is integer, known to corresponding value；
    Otherwise, make a=floor (j × M/K), b=ceil (j × M/K), floor and ceil be respectively remove it is whole and take it is whole, Then have：
    Y (j)=(j × M/K-a) × x (b)+(b-j × M/K) × x (a).
  5. 5. the quality evaluating method of longitude and latitude figure panoramic video according to claim 1, it is characterised in that calculate two frame by frame Mean square error between irregular shape video, quality frame by frame and oeverall quality include：
    Assuming that in the current frame, the difference of pixel value is d corresponding to the i-th row jth row of two irregular shape videosij；
    Then mean square error RMSE is：
    RMSE=sqrt ((ΣI=1..NΣJ=1..round (M*cos (θi))dij 2)/(ΣI=1..Nround(M*cos(θi))))
    Wherein, sqrt represents extraction of square root, θiFor latitude value corresponding to the i-th row；
    Then quality Q corresponding to present frame is：
    Q=10*log10(c2/RMSE)；
    Wherein, c is constant；
    Then the oeverall quality of video is averaging to obtain by quality frame by frame；Or mean square error is averaging by mean square error frame by frame, then Bring above-mentioned quality into and ask for formula to calculate oeverall quality.
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Cited By (2)

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CN108271020A (en) * 2018-04-24 2018-07-10 福州大学 A kind of panoramic video quality evaluating method of view-based access control model attention model
WO2020000522A1 (en) * 2018-06-27 2020-01-02 深圳看到科技有限公司 Method and device for picture quality assessment after dynamic panoramic video stream cropping

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CN105915892A (en) * 2016-05-06 2016-08-31 乐视控股（北京）有限公司 Panoramic video quality determination method and system

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CN101227604A (en) * 2007-01-18 2008-07-23 上海未来宽带技术及应用工程研究中心有限公司 Method for detecting network video quality by network injury tolerance
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WO2020000522A1 (en) * 2018-06-27 2020-01-02 深圳看到科技有限公司 Method and device for picture quality assessment after dynamic panoramic video stream cropping
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