CN1798352A - Method and device for recognizing original resolution of video program source - Google Patents
Method and device for recognizing original resolution of video program source Download PDFInfo
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Abstract
The method includes following steps: collects the video image signal outputted from the video program source; obtains the collected image signal; separates the image signal to form more than one image component signals; component process is separately made for the image component signals to get the sub band domain/frequency domain image signals relating to the image component signal; extracts the feature parameters from the sub band domain/frequency domain image signals; identifies the feature vector composed of the feature parameters to get the original resolution of the video image to be tested. The device thereof consists of an imager collection module, a component separation module, a component processing module, a feature extracting module and an identification module.
Description
Technical field
The present invention relates to a kind of discriminating conduct and device of video image resolution, especially a kind of discriminating conduct of original resolution of video program source and device.
Background technology
At present, along with image/Video processing and development of electronic technology, in video equipment (as digital camera, television set, video disc player and digital film player etc.), memory technology and transmission technology, adopt more and more higher picture resolution, give the visual effect of consumer Geng Gao.For example, high definition TV (HDTV) image and 525 row NTSC's (NTSC) standards or 625 capable line-by-line inversions (PAL) and sequential storage colour (SECAM) standard are compared, the former about 2 times to the latter's level and vertical luminance definition.Because HDTV system video bandwidth is about 5 times of traditional NTSC system, more wide the ratio of width to height of HDTV system has increased more visual information and details.
The appearance of higher video technology needs effectively compatible original video program or signal source.Simultaneously, impel people to seek the technology that some effectively improve original program playback effect on new equipment, typical as various glue change magnetic technology, color correction technology and up-conversion technique.Wherein, up-conversion technique is to be used to handle the lower digital image of resolution, and obtains the method for higher resolution, as methods such as linear and non-linear interpolation, prediction, super-resolutions.
Because high-resolution video/image program is that the high performance new system of employing records and editor finishes, the cost of its unit interval is far above traditional program, and therefore, high-resolution video/image program is than the low definition program costliness of similar content.Therefore, the appearance of these new technologies also impels partial programme source provider to consider for interests, will obscure from high-resolution program and high-resolution program that the low resolution up conversion obtains, and the phenomenon to sell goods at a high figure, make the interests of buying program side be subjected to loss.The publisher of some program (as video disc merchant and distributors) then adopts similar means, and the deception terminal consumer obtains high profit, and being badly in need of effectively, the technological means of the original resolution of examination video/image content solves the problems referred to above.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, a kind of discriminating conduct and device of original resolution of video program source are proposed, be used to distinguish the resolution of video/image program source original picture, can effectively screen the original resolution of video/image content, the publisher or the program source provider that prevent some programs consider for interests, to obscure from high-resolution program and high-resolution program that the low resolution up conversion obtains, the deception terminal consumer avoids program purchaser's interests to incur loss.
For achieving the above object, the invention provides a kind of discriminating conduct of original resolution of video program source, may further comprise the steps:
Step 1, collection video/picture intelligence to be detected obtain picture intelligence to be analyzed;
Step 3, described one or more components image signal is carried out component respectively handle, obtain subband domain corresponding or frequency domain figure picture signals respectively with described components image signal;
Step 4, described subband domain or frequency domain figure picture signals are extracted characteristic parameter, obtain characteristic vector, described characteristic vector is made up of one or more characteristic parameter;
The present invention also provides a kind of condition discriminating apparatus of original resolution of video program source, comprise image capture module, component separation module, one or more component processing module, with the corresponding characteristic extracting module of described component processing module, identification module, described image capture module is gathered the video/picture intelligence of video program source output, and the picture intelligence to be analyzed that will collect outputs to the component separation module; Described component separation module separates the video/picture intelligence of video program source output, obtains more than one components image, and a described above components image is outputed to corresponding component processing module; Described component processing module adopts FFT, DCT or Wavelet transform method to carry out transform analysis to the components image of importing or adopts LOT, CMFB filtering method to carry out the filtering analysis, and subband domain or the frequency domain figure picture signals that obtains outputed to the corresponding characteristic extraction module; Described characteristic extracting module is extracted the subband domain or the frequency domain figure picture signals of input, obtains characteristic parameter, and this characteristic parameter is outputed to identification module; Described identification module is discerned described characteristic parameter, obtains the original resolution of video/image to be detected.
Utilize method and apparatus of the present invention, can differentiate the original resolution of video program source, the accuracy rate height, the publisher or the program source provider that have prevented some programs consider for interests, to obscure from high-resolution program and high-resolution program that the low resolution up conversion obtains, the deception terminal consumer has avoided program purchaser's interests to incur loss.
The present invention is described in further detail below in conjunction with drawings and Examples.
Description of drawings
Fig. 1 is the FB(flow block) of the method for the invention;
Fig. 2 is the structured flowchart of device of the present invention;
Fig. 3 is the apparatus structure block diagram of the present invention's one specific embodiment;
Fig. 4 A is one of structured flowchart of the image acquisition module in the device of the present invention;
Fig. 4 B be the image acquisition module in the device of the present invention structured flowchart two;
Fig. 5 is the structured flowchart of component processing module among Fig. 4;
Fig. 6 is a multiresolution subband image array format schematic diagram.
Embodiment
Referring to Fig. 1, be the FB(flow block) of the method for the invention; The discriminating conduct of a kind of original resolution of video program source of the present invention may further comprise the steps:
Step 1, gather video/picture intelligence to be detected, obtain picture intelligence to be analyzed, picture intelligence can be preserved with any form commonly used, as brightness-chroma format (being YPrPb) or three primary colors form (being RGB), in order to reduce the loss of signal of any intermediate link, adopt the mode identical with former image/video signal format as far as possible, obtain image to be analyzed, in actual applications, the general device storage video frequency programs such as tape or CD that adopt, can use tape player, playback video such as video tape recorder and videodisc player program, and by serial data interface (Serial Digital Interface, be called for short SDI), serial data translation interface (Serial Digital Transport Interface, be called for short SDTI) etc. digital interface gather vision signal, in ITU-R 656 (1986-1998), defined technical specification SDI with 75 ohm coaxial cable transmission of digital signals, based on the SDI standard, move in image and the Television Engineer association (SMPTE 305.2M-2000) in the Japanese wireless tender ACSA (ARIB STD-B17) and the U.S., defined the serial digital signal transmission specification again, can transmit compressed video/picture intelligence, therefore, according to the digital signal difference of gathering the port input, need adopt different acquisition strategies during image acquisition, particularly, at first whether the image or the vision signal of identification input are compressed signal, if non-compressed signal, then gather image (frame of video), and the interval of gathering can be defined by the user with particular time interval; When the signal of input is compressed image or video, then at first gather compressed image (frame of video), decompress then, obtain decoded picture (frame of video), the decoding technique that decompression algorithm may adopt JPEG, MPEG and ITU canonical algorithm etc. and input to adapt;
Y’＝0.701G’+0.212R’+0.087B’
P’b＝0.500R’-0.384G’-0.550B’
P’r＝0.500R’-0.445G’-0.550B’
Wherein three kinds of non-linear primary color component R ', G ', B ' can calculate according to the photoelectricity transfer function of ITU-R BT.709, so these two kinds of forms are any all passable;
Step 3, described one or more components image signal is carried out component respectively handle, obtain subband domain corresponding or frequency domain figure picture signals respectively with described components image signal, because the low resolution image is in transforming to the high-resolution picture process, lack high frequency details (as edge and acutance etc.) in the former image, therefore, the high-frequency information that obtains in the high-resolution picture will be less than real high-resolution picture.Even adopt some super resolution technologies, its high-frequency information of deducing out is compared with real high-resolution picture, also there is significantly difference, therefore, earlier components image being carried out subgraph decomposes, adopt fast Fourier transform (FFT) then, discrete cosine transform (DCT) and wavelet transformation transform method or lapped orthogonal transforms (LOT) such as (Wavelet), cosine-modulation bank of filters filtering methods such as (CMFB), the different frequency composition of picture intelligence effectively can be distinguished, obtain the coefficient of each conversion or filtering, with the various frequencies of the coefficients by using of conversion or filtering-spatial organization's form, being about to conversion or filtered coefficient becomes subband domain/frequency domain figure picture signals according to the spatial order tissue again;
Step 4, described subband domain or frequency domain figure picture signals are extracted characteristic parameter, because by the high-resolution picture of above-mentioned conversion and the radio-frequency component of real high-resolution picture, there is significantly difference in the correlation of high frequency and low frequency, therefore, can be by extracting these obvious characteristics parameters, characteristic parameter as identification image to be analyzed, as when adopting brightness-chroma format (being YPrPb), can extract the luminance energy ratio, colourity energy ratio, brightness effective bandwidth, the colourity effective bandwidth and the frequency range degree of correlation etc. identification characteristic index as characteristic parameter, all these characteristic parameter composition characteristic vectors;
Further, in order to reduce the erroneous judgement probability, get rid of the erroneous judgement problem that adopts the single width image, can adopt several images to come the original resolution of program that combined decision is analyzed, particularly, repeating step 1,2,3,4,5, obtain the recognition result of a plurality of images, by logical operation, more than one recognition result is comprehensive, obtain final recognition result.According to using configuration and demand, recognition result of the present invention has two kinds of recognition result outputs: whether (1) is that a certain specified resolution is (as A:1920*1080, B:1280*720, given by the user), corresponding output result: A, B or neither the non-again B of A; (2) by recognition device, the identification program source is a specific format, comprises common format and other possibility forms, and is given voluntarily by system.
Referring to Fig. 2, be the structured flowchart of device of the present invention; The condition discriminating apparatus of a kind of original resolution of video program source of the present invention comprise image capture module 1, component separation module 2, component processing module 3a, 3b, 3c, with the corresponding characteristic extracting module 4a of described component processing module, 4b, 4c, identification module 5, wherein, described component processing module also can be one, also can be for more than one, be determined on a case-by-case basis, video/the picture intelligence of 1 pair of video program source output of described image capture module is gathered, and the picture intelligence to be analyzed that will collect outputs to component separation module 2; Video/the picture intelligence of 2 pairs of video program source outputs of described component separation module separates, and obtains more than one components image, and a described above components image is outputed to corresponding component processing module 3a, 3b, 3c; Described component processing module 3a, 3b, 3c adopt FFT, DCT or Wavelet transform method to carry out transform analysis to the components image of importing or adopt LOT, CMFB filtering method to carry out the filtering analysis, and subband domain or the frequency domain figure picture signals that obtains outputed to corresponding characteristic extraction module 4a, 4b, 4c; Described characteristic extracting module 4a, 4b, 4c extract the subband domain or the frequency domain figure picture signals of input, obtain one or more characteristic parameter, and these characteristic parameters constitute thing and levy vector, and this characteristic vector is outputed to identification module 5; 5 pairs of described characteristic vectors of described identification module are discerned, and obtain the original resolution of video/image to be detected.
Referring to the apparatus structure block diagram of Fig. 3 for the present invention's one specific embodiment, described device comprises image capture module 10, Y, Pr, Pb component separation module 20, corresponding Y component processing module 30a, Pr component separation module 30b, Pb component separation module 30c, with the corresponding characteristic extracting module 40a of described each component processing module, 40b, 40c, the identification module of forming by fuzzy diagnosis machine 51 and Duo Tu logic identification machine 52 50, wherein, the structure of image acquisition module 10 is shown in Fig. 4 A, comprise recognition unit 11, collecting unit 12,13, decompression unit 14, whether video/the picture intelligence of described recognition unit 11 identification video program source output is compressed signal, if the video/picture intelligence of video program source output is a compressed signal, then this signal being outputed to collecting unit 13 gathers, signal after gathering is sent into decompression unit 14 decompress, obtain picture intelligence to be analyzed; If the video/picture intelligence of video program source output is non-compressed signal, video/the picture intelligence of this video program source output is outputed to collecting unit 12 to be gathered, obtain picture intelligence to be analyzed, and this picture intelligence to be analyzed is outputed to Y, Pr, Pb component separation module 20.
The structure of image acquisition module 10 also can be shown in Fig. 4 B, wherein, collecting unit 12 ' can both be gathered compressed signal, also can gather non-compressed signal, when being compressed signal, signal after the collection enters decompression unit 14 and decompresses, and obtains picture intelligence to be analyzed; When being non-compressed signal, the signal after the collection is picture intelligence to be analyzed.
The image that described Y, Pr, Pb component separation module 20 will collect is separated into Y, Pr, Pb components image.
The structure of Y component processing module 30a, Pr component separation module 30b and Pb component separation module 30c as shown in Figure 5, all comprise subgraph resolution element 301, one or more conversion/ filter element 302a, 302b......302n and multiresolution coefficient tissue elements 303, described subgraph resolution element 301 be used for will input components image be decomposed into one or more subgraph, and subgraph is outputed among conversion/ filter element 302a, 302b......302n corresponding one; Corresponding conversion/filter element carries out conversion or filtering to the subgraph of input, obtains corresponding coefficient, and should be input to multiresolution coefficient tissue elements 303 by corresponding coefficient; Described multiresolution coefficient tissue elements 303 is organized into subband domain/frequency domain figure picture signals with the coefficient of input according to spatial order, and this subband domain/frequency domain figure picture signals is outputed to characteristic extracting module.In the present embodiment, described component processing module 30a is divided into several image subsections of 8 * 8 with the Y components image, and adopt 8 * 8 DCT to calculate the DCT coefficient of each image subsection, and the DCT coefficient of each image subsection is organized into subband image according to spatial order, and totally 64 subband images, multiresolution subband image array format is as shown in Figure 6, wherein, LiHj is the subband image numbering, i frequency band of " Li " presentation image line direction, j frequency band of " Hj " presentation image column direction.Typically, when image to be identified was 1920 * 1080 resolution images, the size of image subsection was 240 * 135; When image to be identified was 1280 * 720 resolution images, the size of image subsection was 160 * 90.The processing of component processing module 30b, 30c is identical with component processing module 30a, does not repeat them here.
Described characteristic extracting module 40a, 40b, 40c carry out feature extraction to the subband domain or the frequency domain figure picture signals of input, obtain more than one characteristic parameter, described more than one characteristic parameter constitutive characteristic vector, and this characteristic vector outputed to fuzzy diagnosis machine 51, particularly, with a characteristic extracting module is that example describes, characteristic extracting module 40a is by calculating the energy of different sub-band, obtain one group of sub belt energy than (e1, e2 ..., en), as the input feature value of resolution identification.Wherein, sub belt energy is the energy of i subband and the ratio of whole picture power than ei, and the frequency band here may corresponding a plurality of frequency bands.For example, when image to be identified be 1920 * 1080 visual the time, it generally may comprise by original program source format: (1) 1920 * 1080 resolution image; (2) 720*576 resolution image; (3) 720*480 resolution image etc.Therefore, at this moment we can select LiHj (0≤i≤2,0≤j≤4) frequency band compares e1 as a subband calculating sub belt energy, select LiHj (0≤i≤2,0≤j≤3) frequency band calculates sub belt energy than e2 as a subband, selects LiHj (3≤i≤7,5≤j≤7) frequency band to calculate sub belt energy as a subband and compares e3, select LiHj (3≤i≤7,4≤j≤7) frequency band to calculate sub belt energy and compare e4 as a subband.
Described fuzzy diagnosis machine 51 is used to calculate the approach degree of characteristic vector to be identified and each standard feature vector, and the subclass that selection has maximum approach value is a recognition result.Standard feature vector in the fuzzy diagnosis machine is determined by training.The training process of concrete standard feature vector and identification concrete grammar belong to known method, can be referring to relevant list of references (as Yang Lunbiao and Gao Yingyi work " principles of fuzzy mathematics and application ", publishing house of South China Science ﹠ Engineering University, 1995).Fuzzy diagnosis machine 51 outputs to recognition result in many figure logic identification machine 52 behind the result who identifies one width of cloth/frame image, can be provided with according to the user, repeat " collection-component separation-component processing-feature extraction-identification " process again, up to obtain enough several/recognition result of frame image, again by many figure logic identification machine 52 by logical operation, the recognition result of a plurality of images is comprehensive, obtain final recognition result.Many figure logic identification machine 52 helps improving the recognition accuracy of the inventive method, and reduction misclassification rate, for example, when whether identification primary signal source is high-definition programming, under the enough abundant situation of training sample and test sample book, if the misclassification rate of single width image is ten thousand/, when the 100 images logical patterns of employing, then the misclassification rate of the comprehensive recognition result of 100 images can be controlled at 1,000,000/.
It should be noted last that, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can make amendment or be equal to replacement technical scheme of the present invention, and not breaking away from the spirit and scope of technical solution of the present invention, it all should be encompassed in the middle of the claim scope of the present invention.
Claims (18)
1, a kind of discriminating conduct of original resolution of video program source is characterized in that, may further comprise the steps:
Video/the picture intelligence of step 1, the output of collection video program source obtains picture intelligence to be analyzed;
Step 2, the described picture intelligence to be analyzed of separation, the picture intelligence that this is to be analyzed is separated into one or more components image signal;
Step 3, described one or more components image signal is carried out component respectively handle, obtain the subband domain corresponding/frequency domain figure picture signals respectively with described components image signal;
Step 4, extract the characteristic parameter of described subband domain/frequency domain figure picture signals, obtain characteristic vector, described characteristic vector is made up of one or more characteristic parameter;
Step 5, discern described characteristic vector, obtain the original resolution of video/image to be detected.
2, the discriminating conduct of original resolution of video program source according to claim 1 is characterized in that, the process of gathering the video/picture intelligence of video program source output in the described step 1 specifically may further comprise the steps:
Step 1a, the video/picture intelligence to be detected of input is discerned, if be non-compressed signal, execution in step 1b then; If be compressed signal then execution in step 1c;
Step 1b, collection video/picture intelligence to be detected obtain picture intelligence to be analyzed;
Step 1c, gather this compressed signal, and the compressed signal after gathering is decompressed, obtain decoded picture or frame of video, obtain picture intelligence to be analyzed.
3, the discriminating conduct of original resolution of video program source according to claim 2 is characterized in that, gathers video/picture intelligence to be detected among the step 1b or/and the time interval of adopting the user to set when gathering this compressed signal among the step 1c gathers.
4, the discriminating conduct of original resolution of video program source according to claim 2, it is characterized in that JPEG, MPEG or ITU canonical algorithm that the compression algorithm that the compressed signal to after gathering described in the step 1c adopts when decompressing and this compressed signal adopts adapts.
5, the discriminating conduct of original resolution of video program source according to claim 1 is characterized in that, the more than one components image signal that will this picture intelligence to be analyzed in the described step 2 be separated into is Y component, P
rComponent and P
bComponent or be three kinds of non-linear primary color component R ', G ', the B ' of three primary colors form.
6, the discriminating conduct of original resolution of video program source according to claim 1 is characterized in that, the process of in the described step 3 described one or more components image signal being carried out the component processing respectively may further comprise the steps:
Step 3a, be one or more subgraph with described components image signal decomposition;
Step 3b, described subgraph is carried out conversion or filtering respectively, obtain corresponding coefficient;
Step 3c, described coefficient is organized into subband domain/frequency domain figure picture signals according to spatial order, and this subband domain/frequency domain figure picture signals is outputed to characteristic extracting module.
7, the discriminating conduct of original resolution of video program source according to claim 6, it is characterized in that, described in the step 3b one or more subgraph is carried out conversion or filtering respectively the time transform method that adopts be FFT, DCT or Wave1et transform method, the filtering method of employing is LOT or CMFB filtering method.
8, the discriminating conduct of original resolution of video program source according to claim 1 is characterized in that, the characteristic parameter described in the step 4 is luminance energy ratio or colourity energy ratio or brightness effective bandwidth or the colourity effective bandwidth or the frequency range degree of correlation.
9, the discriminating conduct of original resolution of video program source according to claim 1, it is characterized in that, the described characteristic vector of identification in the step 5, the process that obtains the original resolution of video/image to be detected is: calculate the characteristic vector of a picture intelligence and the approach degree of standard feature vector, the image that selection has maximum approach value is a recognition result.
10, the discriminating conduct of original resolution of video program source according to claim 9, it is characterized in that, in described step 5, obtain recognition result repeated execution of steps 1,2,3,4,5 afterwards, obtain the recognition result of an above video/picture intelligence, by logical operation, the recognition result of a described above video/picture intelligence is comprehensive, obtain final recognition result.
11, the discriminating conduct of original resolution of video program source according to claim 10 is characterized in that, the quantity of the recognition result of an above video/picture intelligence of described acquisition is set by the user.
12, the discriminating conduct of original resolution of video program source according to claim 9 is characterized in that, described standard feature vector is determined by training.
13, a kind of condition discriminating apparatus of original resolution of video program source, it is characterized in that, comprise image capture module, component separation module, component processing module, characteristic extracting module and identification module, described image capture module is gathered the video/picture intelligence of video program source output, and the picture intelligence to be analyzed that will collect outputs to the component separation module;
Described component separation module separates the video/picture intelligence of video program source output, obtains one or more components image, and described one or more components image are outputed to corresponding component processing module;
Described component processing module adopts FFT, DCT or Wavelet transform method to carry out transform analysis to the components image of importing or adopts LOT, CMFB filtering method to carry out the filtering analysis and obtain subband domain or frequency domain figure picture signals, and output to the corresponding characteristic extraction module;
Described characteristic extracting module is extracted the subband domain of input or the feature of frequency domain figure picture signals, obtains the characteristic vector be made up of one or more characteristic parameters, and this characteristic vector is outputed to identification module;
Described identification module is discerned described characteristic vector, obtains the original resolution of video/image to be detected.
14, the condition discriminating apparatus of original resolution of video program source according to claim 13, it is characterized in that, described image capture module comprises whether video/picture intelligence that signal recognition unit, collecting unit, the described signal recognition unit of decompression unit are used for identification video program source output is compressed signal, if the video/picture intelligence of video program source output is a compressed signal, then this signal is outputed to collecting unit collection, compressed signal output decompression unit after gathering is decompressed, obtain picture intelligence to be analyzed; If the video/picture intelligence of video program source output is non-compressed signal, video/picture intelligence that this video program source is exported outputs to collecting unit collection, obtains picture intelligence to be analyzed.
15, the condition discriminating apparatus of original resolution of video program source according to claim 13 is characterized in that, described component processing module comprises Y component processing unit, P
rComponent processing unit and P
bThe component processing unit is or/and non-linear primary color component R ' component processing unit, G ' component processing unit and B ' the component processing unit of three primary colors form.
16, the condition discriminating apparatus of original resolution of video program source according to claim 15 is characterized in that, described Y component processing unit, P
rComponent processing unit, P
bNon-linear primary color component R ' the component processing unit of component processing unit, three primary colors form or G ' component processing unit and B ' component processing unit include subgraph resolution element, one or more conversion/filter element and multiresolution coefficient tissue elements, described subgraph resolution element is used for the components image of input is decomposed into one or more subgraph, and subgraph is outputed to corresponding conversion/filter element;
Described conversion/filter element carries out conversion or filtering to the subgraph of input, obtains corresponding coefficient, and should be input to multiresolution coefficient tissue elements by corresponding coefficient;
Described multiresolution coefficient tissue elements is organized into subband domain/frequency domain figure picture signals with the coefficient of input according to spatial order, and this subband domain/frequency domain figure picture signals is outputed to characteristic extracting module.
17, the condition discriminating apparatus of original resolution of video program source according to claim 13, it is characterized in that, described identification module comprises the resolution recognition unit, described resolution recognition unit is used to calculate the characteristic vector of a picture intelligence and the approach degree of standard feature vector, and the image that selection has maximum approach value is a recognition result.
18, the condition discriminating apparatus of original resolution of video program source according to claim 17, it is characterized in that, described identification module also comprises many figure recognition unit, described many figure recognition unit to the more than one recognition result COMPREHENSIVE CALCULATING from the output of resolution recognition unit, obtains final recognition result by logical operation.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104581134A (en) * | 2013-10-24 | 2015-04-29 | 深圳艾科创新微电子有限公司 | Video signal resolution detection device and method |
| CN107925779A (en) * | 2015-06-24 | 2018-04-17 | 奈飞公司 | Determine the original resolution of video sequence |
| WO2021260585A1 (en) * | 2020-06-23 | 2021-12-30 | Ssimwave Inc. | Scaling factor detection for compressed images and videos |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104581134A (en) * | 2013-10-24 | 2015-04-29 | 深圳艾科创新微电子有限公司 | Video signal resolution detection device and method |
| CN104581134B (en) * | 2013-10-24 | 2017-08-18 | 深圳艾科创新微电子有限公司 | A kind of vision signal resolution ratio detection means and method |
| CN107925779A (en) * | 2015-06-24 | 2018-04-17 | 奈飞公司 | Determine the original resolution of video sequence |
| CN107925779B (en) * | 2015-06-24 | 2020-06-23 | 奈飞公司 | Determining a native resolution of a video sequence |
| WO2021260585A1 (en) * | 2020-06-23 | 2021-12-30 | Ssimwave Inc. | Scaling factor detection for compressed images and videos |
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