CN116112660A - High-definition and 4k video image attribute comparison method, device, terminal and storage medium - Google Patents
High-definition and 4k video image attribute comparison method, device, terminal and storage medium Download PDFInfo
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Abstract
The application provides a high-definition 4k video image attribute comparison method, a device, a terminal and a storage medium. The high-definition and 4k video image attribute comparison method comprises the steps of decoding high-definition videos and 4k videos with the same content to obtain first frame-by-frame data of the high-definition videos and second frame-by-frame data of the 4k videos; processing the first frame-by-frame data to obtain a first video quality evaluation parameter, and processing the second frame-by-frame data to obtain a second video quality evaluation parameter; comparing the first video quality evaluation parameter and the second video quality evaluation parameter frame by frame to obtain the overall attribute difference information of the video source; and outputting and displaying the overall attribute difference information of the video source in real time. The method has the advantages that the video source overall attribute difference is obtained through decoding the high-definition video and the 4k video, the video quality of the high-definition video with the same content after being upgraded to the 4k video is judged, and the problems that in the prior art, the requirement on the video quality evaluation capability is high due to the large 4k video data amount, the corresponding equipment cost is high, and the 4k video is difficult to popularize are solved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, a terminal, and a storage medium for comparing attributes of high-definition and 4k video images.
Background
High definition video is also called full high definition (FHD, full High Definition) video, the resolution is usually 1920 x 1080,4k video is also called ultra high definition (UHD, ultra High Definition) video, and the resolution can reach 3840 x 2160 and above. The national broadcasting and television administration indicates in the issued opinion about further accelerating the development of high-definition ultra-high-definition television that the ultra-high-definition development emphasis task is to enhance the production of ultra-high-definition television content, and at the same time support conditional television stations to make ultra-high-definition channels and promote the supply capability of ultra-high-definition programs year by year. In summary, the production of ultra-high definition content is a primary task for ultra-high definition development.
In order to popularize and apply the production of ultra-high definition content, the existing broadcast and television industry is in the upgrading process from high definition to ultra-high definition. However, the video is upgraded from high definition to ultra-high definition, the data volume to be processed is multiplied, the pixel point is multiplied by 4 times, the frame rate is multiplied by more than two times, and the higher video processing data volume brings higher requirements on the video quality evaluation capability from high definition video to ultra-high definition video, so that the method is not beneficial to the manufacture and popularization of ultra-high definition video.
Disclosure of Invention
The embodiment of the application provides a high-definition and 4k video image attribute comparison method, a device, a terminal and a storage medium, wherein a first video quality evaluation parameter and a second video quality evaluation parameter of each frame are respectively obtained by decoding high-definition videos and 4k videos with the same content and processing first frame-by-frame data of the high-definition videos and second frame-by-frame data of the 4k videos, and the first video quality evaluation parameter and the second video quality evaluation parameter of each frame are compared to obtain the integral attribute difference of a video source, so that the video quality after the high-definition videos with the same content are upgraded to the 4k videos is judged. The method solves the problems that in the prior art, the ultrahigh-definition video data volume is too large, the requirement on the video quality evaluation capability is too high, and the corresponding equipment cost for video processing is too high, so that the ultrahigh-definition video is difficult to popularize.
In order to solve the above technical problems, the present application provides a high-definition, 4k video image attribute comparison method, including:
decoding the high-definition video and the 4k video with the same content to obtain first frame-by-frame data of the high-definition video and second frame-by-frame data of the 4k video;
processing the first frame-by-frame data to obtain a first video quality evaluation parameter, and processing the second frame-by-frame data to obtain a second video quality evaluation parameter;
comparing the first video quality evaluation parameter and the second video quality evaluation parameter frame by frame to obtain the overall attribute difference information of the video source;
and outputting and displaying the overall attribute difference information of the video source in real time.
Optionally, the first key line number of the single frame and the second key line number of the single frame are input in advance;
after outputting and displaying the overall attribute difference information of the video source in real time, the method further comprises the following steps:
comparing a first appointed line parameter in the first video quality parameters with a second appointed line parameter in the second video quality parameters to obtain difference information of key data attributes, wherein the first appointed line parameter is selected from the first video quality parameters in the single frame according to the first key line number, and the second appointed line parameter is selected from the second video quality parameters in the single frame according to the second key line number;
and outputting and displaying the difference information of the key data attribute.
Optionally, comparing the first specified line parameter of the first video quality parameter with the second specified line parameter of the second video quality parameter to obtain the difference information of the key data attribute includes:
selecting a first video quality parameter row by row according to a first key row number of a pre-input single frame to obtain a first designated row parameter;
selecting a second video quality parameter in an interlaced mode according to a second key line number of a pre-input single frame to obtain a second designated line parameter;
and comparing the first appointed row parameter with the second appointed row parameter to obtain the difference information of the key data attribute.
Optionally, processing the first frame-by-frame data to obtain a first video quality evaluation parameter, and processing the second frame-by-frame data to obtain a second video quality evaluation parameter includes:
and processing the first frame-by-frame data to obtain a first frame-by-frame data signal-to-noise ratio, and processing the second frame-by-frame data to obtain a second frame-by-frame data signal-to-noise ratio.
Optionally, the video source global attribute difference information includes color difference information and color coding signal difference information;
the step of comparing the first video quality evaluation parameter and the second video quality evaluation parameter frame by frame to obtain overall difference information comprises the following steps:
and comparing the first frame-by-frame data signal-to-noise ratio with the second frame-by-frame data signal-to-noise ratio frame by frame to obtain color difference information and color coding signal difference information.
Optionally, outputting and displaying the video source overall attribute difference information in real time includes:
generating real-time video source integral attribute difference text information according to the color difference information;
generating real-time video source integral attribute difference image information according to the color coding signal difference information;
and outputting and displaying the video source integral attribute difference text information and the video source integral attribute difference image information.
Optionally, before comparing the first specified line parameter in the first video quality parameter with the second specified line parameter in the second video quality parameter to obtain the difference information of the key data attribute, the method further includes:
and generating a first key line number of the single frame and a second key line number of the single frame in response to the line number signal to be compared in the single frame.
The application also provides a high definition, 4k video image attribute comparison device, including:
the decoding module is used for decoding the high-definition video and the 4k video with the same content to obtain first frame-by-frame data of the high-definition video and second frame-by-frame data of the 4k video;
the processing module is used for processing the first frame-by-frame data to obtain a first video quality evaluation parameter and processing the second frame-by-frame data to obtain a second video quality evaluation parameter;
the comparison module is used for comparing the first video quality evaluation parameter and the second video quality evaluation parameter frame by frame to obtain the overall attribute difference information of the video source;
and the output display module is used for outputting and displaying the integral attribute difference information of the video source in real time.
The application also provides a mobile terminal, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to implement the high definition, 4k video image attribute comparison method described above.
The application also provides a computer readable storage medium storing a computer program which, when executed by a processor, can implement the high definition, 4k video image attribute comparison method described above.
In the embodiment of the application, the first video quality evaluation parameter and the second video quality evaluation parameter of each frame are respectively obtained by decoding high-definition videos and 4k videos with the same content and different systems and processing the first frame-by-frame data of the high-definition videos and the second frame-by-frame data of the 4k videos, and the first video quality evaluation parameter and the second video quality evaluation parameter are compared to obtain the overall attribute difference of the video source, so that the video quality after the high-definition videos with the same content are upgraded to the 4k videos is judged. The method solves the problems that in the prior art, the ultrahigh-definition video data volume is too large, the requirement on the video quality evaluation capability is too high, and the corresponding device for video processing is too high in cost and difficult to popularize the ultrahigh-definition video.
Specifically, the amount of 4k video data is far greater than that of high-definition video with the same content, and the quality evaluation requirement in video processing equipment is higher during comparison, and the higher requirement leads to higher equipment cost, so that popularization of video processing equipment, particularly video quality evaluation equipment, is hindered, and further, production and popularization of 4k video are also hindered. According to the technical scheme, the high-definition video and the 4k video of the same content are decoded to obtain the high-definition video image attribute information and the 4k video image attribute information of each frame, on the basis, the video source attribute difference of a single frame can be judged only by comparing the high-definition video image attribute information and the 4k video image attribute information of the single frame, and the comparison of the video source attribute difference of each frame is completed in the similar way, so that the difference of the overall attributes of two video sources is obtained, and the difference of the overall attributes of the video sources is displayed for a user to view in real time.
A user can control the quality of the high-definition video after being upgraded to 4k according to the difference of the integral attributes of the video sources of the high-definition video and the 4k video with the same content and different systems, so that the control of the quality of the 4k video and the popularization of 4k video products are facilitated.
The foregoing description is merely an overview of the technical solutions provided in the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application is given.
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One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which the figures of the drawings are not to be taken in a limiting sense, unless otherwise indicated.
Fig. 1 is a schematic diagram of a high-definition, 4k video image attribute comparison method provided in an embodiment of the present application;
fig. 2 is a schematic diagram two of a high-definition, 4k video image attribute comparison method provided in an embodiment of the present application;
fig. 3 is a schematic diagram III of a high-definition, 4k video image attribute comparison method provided in an embodiment of the present application;
fig. 4 is a schematic diagram four of a high-definition, 4k video image attribute comparison method provided in an embodiment of the present application;
fig. 5 is a schematic diagram five of a high-definition, 4k video image attribute comparison method provided in an embodiment of the present application;
fig. 6 is a schematic diagram sixth of a high-definition, 4k video image attribute comparison method provided in an embodiment of the present application;
fig. 7 is a schematic diagram seventh of a high-definition, 4k video image attribute comparison method provided in an embodiment of the present application;
FIG. 8 is a schematic flow chart of a high definition, 4k video image attribute comparison provided in an embodiment of the present application;
fig. 9 is a schematic diagram of a high-definition, 4k video image attribute comparison apparatus according to an embodiment of the present application;
fig. 10 is a schematic diagram two of a high-definition, 4k video image attribute comparison apparatus according to an embodiment of the present application;
fig. 11 is a schematic diagram III of a high-definition, 4k video image attribute comparison apparatus provided in an embodiment of the present application;
fig. 12 is a schematic diagram four of a high-definition, 4k video image attribute comparison apparatus provided in an embodiment of the present application;
fig. 13 is a schematic diagram five of a high-definition, 4k video image attribute comparison apparatus provided in an embodiment of the present application;
fig. 14 is a schematic diagram sixth of a high-definition, 4k video image attribute comparison apparatus provided in an embodiment of the present application;
fig. 15 is a schematic diagram seven of a high-definition, 4k video image attribute comparison apparatus provided in an embodiment of the present application;
fig. 16 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
According to the method, the high-definition video and the 4k video with the same content are decoded, the first video quality evaluation parameter and the second video quality evaluation parameter of each frame are respectively obtained by processing the first frame-by-frame data of the high-definition video and the second frame-by-frame data of the 4k video, and the first video quality evaluation parameter and the second video quality evaluation parameter are compared to obtain the integral attribute difference of the video source, so that the video quality after the high-definition video with the same content is upgraded to the 4k video is judged. The method and the device solve the problems that in the prior art, the requirement on video quality evaluation capability is too high due to the excessive ultrahigh-definition video data volume, the corresponding equipment cost for video processing is too high, and the popularization of the ultrahigh-definition video, namely, the 4k video is difficult.
The first embodiment of the present application provides a high-definition, 4k video image attribute comparison method, as shown in fig. 1, including:
102, processing the first frame-by-frame data to obtain a first video quality evaluation parameter, and processing the second frame-by-frame data to obtain a second video quality evaluation parameter;
and 104, outputting and displaying the overall attribute difference information of the video source in real time.
Specifically, the object compared by the high-definition and 4k video image attribute comparison method is the image attribute of the high-definition video and the 4k video with the same content. Firstly, decoding a high-definition video to obtain each frame of data of a high-definition video image, namely first frame-by-frame data, and decoding a 4k video to obtain each frame of data of a 4k video image, namely second frame-by-frame data. And then, respectively carrying out video image quality evaluation calculation on each frame of data of the high-definition video image and each frame of data of the 4k video image to respectively obtain a first video quality evaluation parameter of each frame and a second video quality evaluation parameter of each frame. And comparing the first video quality evaluation parameter and the second video quality evaluation parameter of the corresponding frames to obtain the video quality difference of each frame of the high-definition video and the 4k video, so as to obtain the difference of the integral attribute of the video source, and displaying the difference of the integral attribute of the video source for a user to check, thereby completing the image attribute comparison of the high-definition video and the 4k video with the same content.
On the basis of the above embodiment, the first embodiment of the present application previously records a first key line number of a single frame and a second key line number of the single frame;
after outputting and displaying the overall attribute difference information of the video source in real time in step 104, as shown in fig. 2, a high-definition, 4k video image attribute comparison method further includes:
and 106, outputting and displaying the difference information of the key data attribute.
Specifically, the method for comparing the attributes of the high-definition video image and the 4k video image not only can compare the integral attribute difference of the video sources of the high-definition video image and the 4k video image, but also can preset the number of lines of a certain key position in a single frame according to the requirement of a user, so that the difference of the key data attributes of the images of the high-definition video image and the 4k video image of a certain frame is compared. In a frame, according to a preset first key line number and a preset second key line number, respectively selecting a first appointed line parameter in a first video quality parameter and a second appointed line parameter in a second video quality parameter, and comparing differences between the appointed line parameters in the same frame to realize difference comparison of the high-definition video and 4k video key data attributes.
In the first embodiment of the present application, by adding a method for comparing attribute differences of key data based on comparing overall attribute difference information of video sources for image attributes of high definition video and 4k video, a user may preset a specific line data in a certain frame as a key line number according to his actual requirement, and when comparing image attribute differences of high definition video and 4k video, the user may also see detail differences in an image focused on, so as to avoid a problem that the difference judgment of image attribute differences of high definition video and 4k video is inaccurate when comparing image attributes of high definition video and 4k video in excessive non-key frame numbers, so that the user may not only compare the difference of high definition video and 4k video on the whole, thereby judging how the image quality of 4k video of the same content is, but also may accurately control the image of the key position in 4k video.
On the basis of the above embodiment, as shown in fig. 3, step 105, comparing the first specified line parameter of the first video quality parameter with the second specified line parameter of the second video quality parameter to obtain the difference information of the key data attribute includes:
step 501, selecting a first video quality parameter row by row according to a first key row number of a pre-recorded single frame to obtain a first designated row parameter;
step 502, selecting a second video quality parameter in an interlaced mode according to a second key line number of a pre-recorded single frame to obtain a second designated line parameter;
step 503, comparing the first designated line parameter with the second designated line parameter to obtain the difference information of the key data attribute.
Specifically, considering the actual situation that the frame rate of the 4k video is more than twice that of the high-definition video, the data volume of video processing is multiplied, the selection of the high-definition video is selected line by line, namely, each line of the preset line number is selected as a comparison object, the selection of the 4k video is selected in an interlaced mode, including but not limited to the selection of the first line every two lines or the selection of the first line every three lines of the preset line number, and the difference information of the key data attributes of the high-definition video and the 4k video can be obtained by comparing the first designated line parameter and the second designated line parameter.
In the first embodiment of the application, by designing a mode of selecting high-definition videos line by line and selecting 4k videos in an interlaced manner, on the premise that the key line number of the same content is not omitted, a solution idea is provided for the problem that the specific data size of the 4k videos is far larger than that of the high-definition videos, namely, the 4k videos are not required to be selected line by line, only the appointed line parameters of the high-definition videos selected line by line are required to be ensured to have the corresponding appointed line parameters of the 4k videos as comparison objects, so that the working efficiency of comparing video image attributes is improved, the requirement on the data processing function of video processing equipment is reduced, and the popularization of the 4k videos is facilitated.
In addition to the above embodiment, as shown in fig. 4, step 102, processing the first frame-by-frame data to obtain a first video quality evaluation parameter, and processing the second frame-by-frame data to obtain a second video quality evaluation parameter includes:
Specifically, the video quality evaluation parameter may use a Signal-to-Noise Ratio (SNR) as a quality evaluation basis. At this time, only the first frame-by-frame data of each frame of the high-definition video is processed to obtain a first frame-by-frame data signal-to-noise ratio, the second frame-by-frame data of each frame of the 4k video is processed to obtain a second frame-by-frame data signal-to-noise ratio, and then the two are compared to judge the image quality difference of the same frame of the high-definition video and the 4k video, so that the comparison of the integral attribute difference information of the video source is realized.
On the basis of the embodiment, the video source overall attribute difference information comprises color difference information and color coding signal difference information;
as shown in fig. 5, step 103, comparing the first video quality evaluation parameter and the second video quality evaluation parameter frame by frame to obtain overall difference information includes:
Specifically, after the signal-to-noise ratio of the two is obtained by calculation, the two are compared to obtain a color difference delta E value of the image and a color coded signal YUV component value, and the comparison of the image quality difference can be carried out according to the delta E value and the YUV component value.
In addition, the SNR value of each frame is calculated, and the delta E value and the YUV component value of the obtained image are also suitable for comparing the key data attribute differences of the high-definition video and the 4k video, namely, the SNR value is calculated according to the first appointed row parameter and the second appointed row parameter, and the delta E value and the YUV component value are obtained, so that the key data attribute differences of the high-definition video and the 4k video are compared.
The application also provides other comparison modes, namely comparing the high-definition video and the 4k video image attribute of each frame to obtain the SNR value difference value of each frame, and then calculating the delta E value and the YUV component value. According to the method, the first video quality evaluation parameter and the second video quality evaluation parameter are not required to be acquired for the high-definition video and the 4k video respectively, but the difference of the image attribute and the video quality of the high-definition video with the same content after being upgraded to the 4k video is directly compared and judged, and the working efficiency of the high-definition and 4k video image attribute comparison method is improved.
In the first embodiment of the application, the specific difference between the high-definition video and the 4k video is judged by calculating the SNR value, so that a user can intuitively obtain the specific content of the attribute difference of the 4k video compared with the high-definition video of the same frame, and a concise and clear measurement standard is provided for the user to compare the attribute quality of the high-definition video with the 4k video.
On the basis of the above embodiment, as shown in fig. 6, step 104, outputting and displaying the video source global attribute difference information in real time includes:
and step 403, outputting and displaying the video source integral attribute difference text information and the video source integral attribute difference image information.
Specifically, after the Δe value and the YUV component value are obtained, the Δe value is subjected to data storage and text information output for viewing by a user, and a waveform diagram for viewing by the user is generated according to the YUV component value. The user can refer to the outputted text information and waveform diagram information to know the difference between the high-definition video and the 4k video image attribute.
In addition, the display is that the text information and the image information of the current frame are generated after the high-definition video and the 4k video of each frame are compared, so that a user can observe the image attribute difference of any one frame in real time, and the image attribute difference can be judged according to the text information and the image information integrally after the data of all frames are compared.
In the first embodiment of the application, the delta E value and the YUV component value are displayed for a user to view through text information and image information respectively, so that the user can know the image attribute difference of a specific frame or an integral high-definition video and a 4k video conveniently, and the visualization degree of the first embodiment of the application is improved.
On the basis of the above embodiment, as shown in fig. 7, before comparing the first specified line parameter of the first video quality parameters with the second specified line parameter of the second video quality parameters to obtain the difference information of the key data attribute, step 105 further includes:
and step 107, generating a first key line number of the single frame and a second key line number of the single frame in response to the line number signal to be compared in the single frame.
Specifically, the key data attribute difference in a certain frame can be compared with the line number signal according to the requirement of the user input requirement of actual requirement, and the line number signal is compared according to the requirement to carry out corresponding comparison.
In the first embodiment of the application, the line number signals are compared according to the needs input by the user to generate the corresponding first key line number and second key line number, and the user can regulate and control the line number of a certain frame which is required to be compared with the key information in real time according to the self needs, so that the personalized needs of the user are met.
In addition, as shown in fig. 8, the first embodiment of the present application further provides a process of performing high-definition, 4k video image attribute comparison by using software of the high-definition, 4k video image attribute comparison method:
the first embodiment of the present application can be applied to video signal analysis software (videosignai analysis) as follows, but is not limited to. When the user needs to perform image attributes of the high-definition video and the 4k video, selecting an image attribute information comparison function in video signal analysis software, and selecting the high-definition video and the 4k video with the same content. The software can begin the comparison after loading the file. If the user wants to compare the integral attribute difference of the video source, the user can directly compare the independent lines of each frame, and at the moment, the software decodes the high-definition video and the 4k video to obtain a decoded video image, and calculates the delta E value and the YUV component value in the independent frame respectively. The delta E value data is stored and displayed for reference by a user, the YUV component values generate a waveform diagram and are displayed for reference by the user, and each frame completes display action, so that comparison of the integral attribute difference of the video source of the high-definition video and the 4k video is completed. If the user has a need, inputting a line number to be compared, at the moment, selecting a line-by-line value of the high-definition video image in a single decoded frame by software, selecting a line-by-line value of the 4k video image in the single frame, calculating to obtain a delta E value and a YUV component value, and finishing display action of each frame, thereby obtaining the difference of the key data attributes of the high-definition video and the 4k video.
According to the high-definition and 4k video image attribute comparison method, the high-definition videos and the 4k videos with the same content and different systems are decoded, the first frame-by-frame data of the high-definition videos and the second frame-by-frame data of the 4k videos are processed to respectively obtain the first video quality evaluation parameter and the second video quality evaluation parameter of each frame, the first video quality evaluation parameter and the second video quality evaluation parameter are compared to obtain the overall attribute difference of video sources, and further the video quality after the high-definition videos with the same content are upgraded to the 4k videos is judged. The method solves the problems that in the prior art, the ultrahigh-definition video data volume is too large, the requirement on the video quality evaluation capability is too high, and the corresponding device for video processing is too high in cost and difficult to popularize the ultrahigh-definition video.
Specifically, the amount of 4k video data is far greater than that of high-definition video with the same content, and the quality evaluation requirement in video processing equipment is higher during comparison, and the higher requirement leads to higher equipment cost, so that popularization of video processing equipment, particularly video quality evaluation equipment, is hindered, and further, production and popularization of 4k video are also hindered. According to the technical scheme, the high-definition video and the 4k video of the same content are decoded to obtain the high-definition video image attribute information and the 4k video image attribute information of each frame, on the basis, the video source attribute difference of a single frame can be judged only by comparing the high-definition video image attribute information and the 4k video image attribute information of the single frame, and the comparison of the video source attribute difference of each frame is completed in the similar way, so that the difference of the overall attributes of two video sources is obtained, and the difference of the overall attributes of the video sources is displayed for a user to view in real time.
A user can control the quality of the high-definition video after being upgraded to 4k according to the difference of the integral attributes of the video sources of the high-definition video and the 4k video with the same content and different systems, so that the control of the quality of the 4k video and the popularization of 4k video products are facilitated.
The second embodiment of the present application further provides a high-definition, 4k video image attribute comparison apparatus, as shown in fig. 9, including:
the decoding module 108 is configured to decode the high-definition video and the 4k video with the same content to obtain first frame-by-frame data of the high-definition video and second frame-by-frame data of the 4k video;
a processing module 109, configured to process the first frame-by-frame data to obtain a first video quality evaluation parameter, and process the second frame-by-frame data to obtain a second video quality evaluation parameter;
the first comparing module 110 is configured to compare the first video quality evaluation parameter and the second video quality evaluation parameter frame by frame to obtain overall attribute difference information of the video source;
the first output display module 111 is configured to output and display the overall attribute difference information of the video source in real time.
On the basis of the above embodiment, as shown in fig. 10, the high-definition, 4k video image attribute comparing apparatus further includes:
a second comparing module 112, configured to compare a first designated line parameter in the first video quality parameter with a second designated line parameter in the second video quality parameter to obtain difference information of the key data attribute, where the first designated line parameter is selected from the first video quality parameters in the single frame according to the first key line number, and the second designated line parameter is selected from the second video quality parameters in the single frame according to the second key line number;
and a second output display module 113 for outputting and displaying the difference information of the key data attribute.
On the basis of the above embodiment, as shown in fig. 11, the second comparing module 112 includes:
a first selecting unit 121, configured to select a first video quality parameter line by line according to a first key line number of a pre-entered single frame, to obtain a first specified line parameter;
a second selecting unit 122, configured to interlace-select a second video quality parameter according to a second key line number of the pre-input single frame, to obtain a second specified line parameter;
the second comparing unit 123 is configured to compare the first designated line parameter with the second designated line parameter to obtain difference information of the key data attribute.
On the basis of the above embodiment, as shown in fig. 12, the processing module 109 includes:
a first processing unit 191, configured to process the first frame-by-frame data to obtain a signal-to-noise ratio of the first frame-by-frame data;
the second processing unit 192 is configured to process the second frame-by-frame data to obtain a second frame-by-frame data signal-to-noise ratio.
On the basis of the above embodiment, as shown in fig. 13, the first comparing module 110 includes:
the first comparing unit 114 is configured to compare the first frame-by-frame data signal-to-noise ratio with the second frame-by-frame data signal-to-noise ratio to obtain color difference information and color coded signal difference information.
In addition to the above embodiment, as shown in fig. 14, the first output display module 111 includes:
a text generation unit 115, configured to generate real-time video source global attribute difference text information according to the color difference information;
an image generating unit 116, configured to generate real-time video source global attribute difference image information according to the color-coded signal difference information;
the first display unit 117 is configured to output and display video source global attribute difference text information and video source global attribute difference image information.
In addition to the above embodiment, as shown in fig. 15, the high-definition, 4k video image attribute comparing apparatus further includes:
the key line number generating module 118 is configured to generate a first key line number of the single frame and a second key line number of the single frame in response to the line number signal to be compared in the single frame.
A third embodiment of the present application relates to a mobile terminal, as shown in fig. 16, including:
at least one processor 1001; the method comprises the steps of,
a memory 1002 communicatively coupled to the at least one processor 1001; wherein,,
the memory 1002 stores instructions executable by the at least one processor 1001 to enable the at least one processor 1001 to implement the hardware status display method according to the first embodiment of the present application.
Where the memory and the processor are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting the various circuits of the one or more processors and the memory together. The bus may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over the wireless medium via the antenna, which further receives the data and transmits the data to the processor.
The processor is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory may be used to store data used by the processor in performing operations.
A fourth embodiment of the present application relates to a computer-readable storage medium storing a computer program. The computer program, when executed by a processor, implements the hardware state display method described in the first embodiment of the present application.
That is, it will be understood by those skilled in the art that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a device (which may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps in the methods of the embodiments described herein. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A high definition, 4k video image attribute comparison method, comprising:
decoding high-definition video and 4k video with the same content to obtain first frame-by-frame data of the high-definition video and second frame-by-frame data of the 4k video;
processing the first frame-by-frame data to obtain a first video quality evaluation parameter, and processing the second frame-by-frame data to obtain a second video quality evaluation parameter;
comparing the first video quality evaluation parameter with the second video quality evaluation parameter frame by frame to obtain video source integral attribute difference information;
and outputting and displaying the overall attribute difference information of the video source in real time.
2. The method of claim 1, wherein a first critical line number of a single frame and a second critical line number of a single frame are entered in advance;
after the real-time output and display of the video source overall attribute difference, the method further comprises the following steps:
comparing a first appointed row parameter in the first video quality parameters with a second appointed row parameter in the second video quality parameters to obtain difference information of key data attributes, wherein the first appointed row parameter is selected from the first video quality parameters in a single frame according to the first key row number, and the second appointed row parameter is selected from the second video quality parameters in the single frame according to the second key row number;
and outputting and displaying the difference information of the key data attribute.
3. The method of claim 2, wherein comparing the first specified line parameter of the first video quality parameters with the second specified line parameter of the second video quality parameters results in difference information of key data attributes comprising:
selecting the first video quality parameters row by row according to the first key row number of the pre-input single frame to obtain the first appointed row parameters;
selecting the second video quality parameter in an interlaced mode according to the second key line number of the pre-input single frame to obtain the second appointed line parameter;
and comparing the first appointed row parameter with the second appointed row parameter to obtain the difference information of the key data attribute.
4. The method of claim 1, wherein processing the first frame-by-frame data to obtain a first video quality rating parameter and processing the second frame-by-frame data to obtain a second video quality rating parameter comprises:
and processing the first frame-by-frame data to obtain a first frame-by-frame data signal-to-noise ratio, and processing the second frame-by-frame data to obtain a second frame-by-frame data signal-to-noise ratio.
5. The method of claim 4, wherein the video source global property difference information includes color difference information and color coded signal difference information;
the step of comparing the first video quality evaluation parameter and the second video quality evaluation parameter frame by frame to obtain overall difference information includes:
and comparing the first frame-by-frame data signal-to-noise ratio with the second frame-by-frame data signal-to-noise ratio frame by frame to obtain color difference information and color coding signal difference information.
6. The method of claim 5, wherein the outputting and displaying the video source global attribute difference information in real time comprises:
generating real-time video source integral attribute difference text information according to the color difference information;
generating real-time video source integral attribute difference image information according to the color coding signal difference information;
and outputting and displaying the text information of the overall attribute difference of the video source and the image information of the overall attribute difference of the video source.
7. The method of claim 2, wherein before comparing the first specified line parameter of the first video quality parameters with the second specified line parameter of the second video quality parameters to obtain the difference information of the key data attribute, further comprising:
and generating a first key line number of the single frame and a second key line number of the single frame in response to the line number signal to be compared in the single frame.
8. A high definition, 4k video image attribute comparison apparatus comprising:
the decoding module is used for decoding the high-definition video and the 4k video with the same content to obtain first frame-by-frame data of the high-definition video and second frame-by-frame data of the 4k video;
the processing module is used for processing the first frame-by-frame data to obtain a first video quality evaluation parameter, and processing the second frame-by-frame data to obtain a second video quality evaluation parameter;
the comparison module is used for comparing the first video quality evaluation parameter and the second video quality evaluation parameter frame by frame to obtain the overall attribute difference information of the video source;
and the output display module is used for outputting and displaying the integral attribute difference information of the video source in real time.
9. A mobile terminal, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to implement the high definition, 4k video image attribute comparison method of claims 1-7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the high definition, 4k video image attribute comparison method of claims 1-7.
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