CN116546295A - Video shooting processing method and system - Google Patents
Video shooting processing method and system Download PDFInfo
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- CN116546295A CN116546295A CN202310550856.5A CN202310550856A CN116546295A CN 116546295 A CN116546295 A CN 116546295A CN 202310550856 A CN202310550856 A CN 202310550856A CN 116546295 A CN116546295 A CN 116546295A
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/53—Constructional details of electronic viewfinders, e.g. rotatable or detachable
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/56—Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/95—Computational photography systems, e.g. light-field imaging systems
- H04N23/951—Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a video shooting processing system, which comprises shooting equipment, wherein the shooting equipment is used for shooting video, an auxiliary viewfinder is arranged in the shooting equipment, the auxiliary viewfinder is used for eliminating interference of external light, and a light supplementing lamp is additionally arranged on the shooting equipment and is used for supplementing light when the light is insufficient; the transmission module is used for realizing the transmission of shot videos; the transcoding module is connected with the shooting equipment through the transmission module, and is used for transcoding the shot video, wherein the transcoding module is used for transcoding, decoding, compressing and decompressing; the beneficial effects of the invention are as follows: transcoding video data is processed, so that the efficiency of video shooting processing can be improved; the method comprises the steps of performing splicing treatment on a plurality of images to be spliced, and solving the problem of poor local definition and fineness of an output picture; noise in the video signal is removed by using a filtering technology, so that the noise reduction effect is strong, and the blurred video seconds become clear.
Description
Technical Field
The invention belongs to the technical field of video shooting processing, and particularly relates to a video shooting processing method and system.
Background
As is well known, vision is the most important and intuitive way for many higher organisms, including humans, to obtain external information; through vision, people and animals sense the size, brightness, color and action of external objects, and obtain various information with important significance for living organisms; for human beings, at least 80% of external information is obtained visually; vision can be said to be the most important sensory of humans; in the information age, video technology is particularly important as one of the main carriers for delivering visual information.
A method and a system for processing dynamic video shooting with the application number of CN201410587144.1, wherein the method comprises the following steps: respectively shooting a main body and a background sample in the background sample in a short time, and shooting a target background in a slow speed to respectively generate a first video of recording the main body and the background sample, a second video of recording the background sample and a third video of recording the target background; comparing the first video with the second video, extracting a main body image from the first video, generating a main body image frame sequence with transparent background, and sequentially overlapping each frame main body image in the main body image frame sequence into the third video to generate a dynamic video file in which a main body and a target background are recorded; the system comprises: the shooting module is used for respectively shooting a main body and a background sample in the background sample in a short time, shooting a target background in a slow speed, and respectively generating a first video for recording the main body and the background sample, a second video for recording the background sample and a third video for recording the target background; the video processing module is used for comparing the first video with the second video, extracting a main body image from the first video, generating a main body image frame sequence with transparent background, and sequentially overlapping each frame main body image in the main body image frame sequence into the third video to generate a dynamic video file in which the main body and the target background are recorded.
When the existing video shooting is processed, noise reduction is not facilitated, the fuzzy video cannot be clear, and the experience of people is affected.
Disclosure of Invention
The invention aims to provide a video shooting processing method and a system, which can reduce noise of shot video, so that blurred video becomes clear and experience of people is improved.
In order to achieve the above purpose, the present invention provides the following technical solutions: a video shooting processing system comprises
The shooting device is used for shooting videos, an auxiliary viewfinder is arranged in the shooting device, the auxiliary viewfinder is used for eliminating interference of external light, and a light supplementing lamp is additionally arranged on the shooting device and is used for supplementing light when the light is insufficient;
the transmission module is used for realizing the transmission of shot videos;
the transcoding module is connected with the shooting equipment through the transmission module, and is used for transcoding the shot video, wherein the transcoding module is used for transcoding, decoding, compressing and decompressing;
the processing module is connected with the transcoding module through the transmission module, and processes the transcoded video through the processing module, wherein the processing comprises decoding, compression, decompression and noise reduction;
the database is connected with the processing module through the transmission module, and the processed video data are stored in the database.
As a preferred technical scheme of the present invention, the compression process performs video compression processing through discrete cosine transform and motion compensation methods, reduces redundant information by calculating motion vectors between successive image frames, then divides each frame of image into matrices, performs discrete cosine transform on the sub-matrices, and finally completes video compression through quantization technology.
As a preferable technical scheme of the invention, the decompression process completes the restoration of the original video through the reverse process of video compression.
As a preferred technical solution of the present invention, the decoding method is as follows: obtaining video code stream, de-encapsulating to obtain code stream information, and storing the code stream information into a video packet queue; screening target video packet data from a video packet queue according to a preset screening rule; acquiring attribute information of each target video packet data, and determining a target decoding mode according to the attribute information; and when the target decoding mode corresponding to the video code stream is hard decoding, creating a hard decoding plug-in and performing video decoding.
As a preferable technical scheme of the invention, the invention also comprises a splicing module, and the specific operation is as follows: performing grabbing operation on an input image to obtain a plurality of first images, wherein each first image comprises an extended grabbing area; performing scaling processing operation on the plurality of first images to obtain a plurality of second images respectively corresponding to the plurality of first images, wherein each second image comprises a scaled expansion grabbing area; cutting the plurality of second images respectively to cut out the scaled and expanded grabbing area of each second image, so as to obtain a plurality of images to be spliced; and performing stitching treatment on the plurality of images to be stitched.
As a preferred technical solution of the present invention, the decompression method includes entropy decoding, inverse quantization, inverse transformation, interpolation, reconstruction, filtering, and reference frame insertion.
As a preferred technical solution of the present invention, the noise reduction process uses a filtering technique to remove noise in the video signal, where the filtering technique includes a time domain filtering method, a frequency domain filtering method, and a block filtering method.
The invention also discloses a video shooting processing method, which comprises the following steps:
step one: shooting a video through shooting equipment and transmitting the video to a transcoding module;
step two: transcoding the shot video through a transcoding module;
step three: the transcoded video is decoded, compressed, decompressed and noise reduced through the processing module, and the processed video data is stored in the database for calling.
Compared with the prior art, the invention has the beneficial effects that:
transcoding video data is processed, so that the efficiency of video shooting processing can be improved;
the method comprises the steps of performing splicing treatment on a plurality of images to be spliced, and solving the problem of poor local definition and fineness of an output picture;
noise in the video signal is removed by using a filtering technology, so that the noise reduction effect is strong, and the blurred video seconds become clear.
Drawings
FIG. 1 is a system diagram of the present invention;
fig. 2 is a flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, a first embodiment of the present invention provides a video shooting processing system, which includes
The shooting device is used for shooting videos, an auxiliary viewfinder is arranged in the shooting device, the auxiliary viewfinder is used for eliminating interference of external light, and a light supplementing lamp is additionally arranged on the shooting device and is used for supplementing light when the light is insufficient;
the transmission module is used for realizing the transmission of the shot video;
the transcoding module is connected with the shooting equipment through the transmission module, and is used for transcoding the shot video, wherein the transcoding module is used for transcoding, decoding, compressing and decompressing;
the processing module is connected with the transcoding module through the transmission module, and processes the transcoded video through the processing module, wherein the processing comprises decoding, compression, decompression and noise reduction;
the database is connected with the processing module through the transmission module, and the processed video data are stored in the database.
The transcoded video data is processed, so that the efficiency of video shooting processing can be improved.
In this embodiment, preferably, in the compression process, video compression is performed by a discrete cosine transform and motion compensation method, redundant information is reduced by calculating motion vectors between successive image frames, then each image frame is divided into matrices, discrete cosine transform is performed on the sub-matrices, and finally video compression is completed by quantization technology; the video signal has a large information content, which has high bandwidth requirement for network transmission, so that the video information is very necessary to be compressed; whether the video signal can be encoded before transmission and then transmitted; there are two criteria for video quality: subjective quality, objective quality; subjective quality refers to a visual assessment of a person; the objective quality is represented by a general signal-to-noise ratio (S/N); comprehensively considering subjective quality and objective quality when evaluating the quality of a video; one method of improving video compression by encoding only changes in video scenes is known as conditional interpolation (CR), which is the only method of reducing temporal redundancy in the first digital video coding standard h.120, and CR coding involves two processes: signaling which regions of the picture can be repeated; transmitting new encoded information to replace the region where the change occurred; CR allows one of two modes, skip mode and intra mode, to be selected for each region as a representative; however, CR coding has an important disadvantage in that it cannot improve an approximation; in general, the content of a certain area of a previous frame of picture can be a good approximation of a new picture, and only a small change is needed to be a good reference; CR coding allows only exact repetition or complete replacement of each picture region; the added third "prediction mode" may send a refined inter-frame difference approximation, resulting in further improvement in compression performance; the concept of frame difference refinement also takes one step by adding motion compensation prediction; most of the video content changes are typically due to movement of objects in the scene depicted by the opposing imaging planes, even small movements may result in very different pixel values in the picture area, especially in areas near the edges of an object; typically, a certain area of the previous picture is replaced by a few pixels of the spatial position, which results in a significant reduction of the amount of transmitted frame difference approximation information; the method of using such spatial displacement to form an approximate position is called motion compensation, and the method of searching for the best spatial displacement approximation using an encoder is called motion estimation; since the adjacent frames are identical or substantially identical, taking the 1 st picture of the group of pictures as an I picture, feeding it to the encoder; the encoder firstly divides the encoder into a plurality of pieces, macro blocks and blocks, divides each block into an 8 x 8 = 64 point array, then carries out Z-shaped description and DCT transformation, transforms 64 brightness sampling values into 64 DCT coefficients, carries out corresponding quantization on the 64 coefficient values respectively, carries out variable length coding treatment after quantization treatment, and obtains the shortest digital code representing one block data; so far, the encoding of the 1 st macro block in the 1 st column image of the 1 st frame of the picture group is completed, and the like, so that all compressed data encoding of the 1 st frame picture can be obtained; one frame of image information in the original two-dimensional space is converted into serial data in the one-dimensional space, and all the serial data are stored to form a basis for continuing data processing.
In this embodiment, preferably, the decompression process completes the restoration of the original video through the inverse process of video compression.
In this embodiment, preferably, the decoding method is as follows: obtaining video code stream, de-encapsulating to obtain code stream information, and storing the code stream information into a video packet queue; screening target video packet data from a video packet queue according to a preset screening rule; acquiring attribute information of each target video packet data, and determining a target decoding mode according to the attribute information; and when the target decoding mode corresponding to the video code stream is hard decoding, creating a hard decoding plug-in and performing video decoding.
In this embodiment, preferably, the method further includes a splicing module, and the specific operations are as follows: performing grabbing operation on an input image to obtain a plurality of first images, wherein each first image comprises an extended grabbing area; performing scaling processing operation on the plurality of first images to obtain a plurality of second images respectively corresponding to the plurality of first images, wherein each second image comprises a scaled expansion grabbing area; cutting the plurality of second images respectively to cut out the scaled and expanded grabbing area of each second image, so as to obtain a plurality of images to be spliced; and the splicing processing is carried out on the images to be spliced, so that the problem of poor local definition and fineness of the output picture is solved.
In this embodiment, preferably, the decompression method includes entropy decoding, dequantization, inverse transformation, interpolation, reconstruction, filtering, and reference frame insertion.
In this embodiment, preferably, in the noise reduction process, noise in the video signal is removed by using a filtering technology, where the filtering technology includes a time domain filtering method, a frequency domain filtering method, and a block filtering method; time domain filtering method: summing pixel values of peripheral pixel points of each pixel point of each frame of image, and then processing pixel values of original pixel points according to the summed values so as to remove noise; frequency domain filtering method: converting an image from a time domain to a frequency domain, detecting noise of the image in the frequency domain, and then eliminating noise with frequency exceeding a certain range; block filtering method: dividing an image into a plurality of small blocks, detecting noise in each small block, and finally eliminating the noise; the method has a strong noise reduction effect, so that the blurred video seconds become clear.
Example 2
Referring to fig. 2, a second embodiment of the present invention provides a video shooting processing method, which includes:
step one: shooting a video through shooting equipment and transmitting the video to a transcoding module;
step two: transcoding the shot video through a transcoding module;
step three: the transcoded video is decoded, compressed, decompressed and noise reduced through the processing module, and the processed video data is stored in the database for calling.
While embodiments of the present invention have been shown and described in detail with reference to the foregoing detailed description, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations may be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A video capture processing system, characterized by: comprising
The shooting device is used for shooting videos, an auxiliary viewfinder is arranged in the shooting device, the auxiliary viewfinder is used for eliminating interference of external light, and a light supplementing lamp is additionally arranged on the shooting device and is used for supplementing light when the light is insufficient;
the transmission module is used for realizing the transmission of shot videos;
the transcoding module is connected with the shooting equipment through the transmission module, and is used for transcoding the shot video, wherein the transcoding module is used for transcoding, decoding, compressing and decompressing;
the processing module is connected with the transcoding module through the transmission module, and processes the transcoded video through the processing module, wherein the processing comprises decoding, compression, decompression and noise reduction;
the database is connected with the processing module through the transmission module, and the processed video data are stored in the database.
2. A video capture processing system according to claim 1, wherein: the compression process is to perform video compression processing through a discrete cosine transform and motion compensation method, reduce redundant information by calculating motion vectors between continuous image frames, divide each frame of image into matrixes, perform discrete cosine transform on the sub-matrixes, and finally complete video compression through a quantization technology.
3. A video capture processing system according to claim 1, wherein: and the decompression process completes the recovery of the original video through the reverse process of video compression.
4. A video capture processing system according to claim 1, wherein: the decoding method is as follows: obtaining video code stream, de-encapsulating to obtain code stream information, and storing the code stream information into a video packet queue; screening target video packet data from a video packet queue according to a preset screening rule; acquiring attribute information of each target video packet data, and determining a target decoding mode according to the attribute information; and when the target decoding mode corresponding to the video code stream is hard decoding, creating a hard decoding plug-in and performing video decoding.
5. A video capture processing system according to claim 1, wherein: the splicing module is further included, and the specific operation is as follows: performing grabbing operation on an input image to obtain a plurality of first images, wherein each first image comprises an extended grabbing area; performing scaling processing operation on the plurality of first images to obtain a plurality of second images respectively corresponding to the plurality of first images, wherein each second image comprises a scaled expansion grabbing area; cutting the plurality of second images respectively to cut out the scaled and expanded grabbing area of each second image, so as to obtain a plurality of images to be spliced; and performing stitching treatment on the plurality of images to be stitched.
6. A video capture processing system according to claim 1, wherein: the decompression method comprises entropy decoding, inverse quantization, inverse transformation, interpolation, reconstruction, filtering and reference frame insertion.
7. A video capture processing system according to claim 1, wherein: the noise reduction process uses a filtering technology to remove noise in the video signal, wherein the filtering technology comprises a time domain filtering method, a frequency domain filtering method and a block filtering method.
8. A video shooting processing method comprising a shooting device in the system according to any one of claims 1 to 7, characterized in that: the processing method comprises the following steps:
step one: shooting a video through shooting equipment and transmitting the video to a transcoding module;
step two: transcoding the shot video through a transcoding module;
step three: the transcoded video is decoded, compressed, decompressed and noise reduced through the processing module, and the processed video data is stored in the database for calling.
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| CN202310550856.5A CN116546295A (en) | 2023-05-16 | 2023-05-16 | Video shooting processing method and system |
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| CN202310550856.5A CN116546295A (en) | 2023-05-16 | 2023-05-16 | Video shooting processing method and system |
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