CN113038147A - Intelligent video parameter adjusting system - Google Patents
Intelligent video parameter adjusting system Download PDFInfo
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- CN113038147A CN113038147A CN201911249317.8A CN201911249317A CN113038147A CN 113038147 A CN113038147 A CN 113038147A CN 201911249317 A CN201911249317 A CN 201911249317A CN 113038147 A CN113038147 A CN 113038147A
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- China
- Prior art keywords
- image
- data
- equipment
- live broadcast
- filtering
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
Abstract
The invention relates to an intelligent video parameter adjusting system, which comprises: the content capturing equipment is arranged at the live broadcast client and used for capturing the live broadcast video images locally acquired by the live broadcast client; the data processing equipment is connected with the content capturing equipment, is used for reducing the definition of the live video image to obtain a standby live video image when receiving a first trigger signal, and is also used for directly taking the live video image as the standby live video image when receiving a second trigger signal; and the compression coding equipment is connected with the data processing equipment and is used for carrying out compression coding on the standby live broadcast image so as to obtain a compressed video stream to be sent to a live broadcast server. The intelligent video parameter adjusting system has simple logic and wide application. The definition of the video pictures uploaded to the live broadcast server is determined according to the specific content of the live broadcast scene, so that the intelligent capacity of live broadcast control is improved.
Description
Technical Field
The invention relates to the field of live video, in particular to an intelligent video parameter adjusting system.
Background
The video live broadcast service is evolved on the basis of the on-demand service. In the video on demand service, all programs are stored in a server in the form of streaming media files. The program source in the video live broadcast service is generally a television signal.
The television signal is first decomposed into image signals and sound signals by the television box, and if the program source itself is image signals and sound signals, signals output from devices such as a video recorder do not need to be decomposed. In the case of analog signals, they must be converted to digital signals by a digital-to-analog converter. The digital signal is then stored in a server by generating a live file through a streaming media encoder (which may be a hardware encoder or a software encoder).
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides an intelligent video parameter adjusting system which can determine the definition of an uploaded live broadcast image according to whether a human body target exists in a live broadcast scene or not, so that when no anchor or related personnel exist, excessive unnecessary network data are prevented from being uploaded.
Therefore, the invention at least needs to have the following two key points:
(1) determining the definition of a live video uploaded to a live broadcast server according to whether a human body target exists in a live broadcast scene, so that the bandwidth occupancy rate of local equipment is reduced, and meanwhile, the interaction of network data is reduced;
(2) when a human body target exists in the live broadcast scene, the definition of an image during live broadcast video acquisition is maintained, and when the human body target does not exist in the live broadcast scene, the definition of the acquired live broadcast video image is reduced.
According to an aspect of the present invention, there is provided an intelligent video parameter adjustment system, the system comprising:
the content capturing equipment is arranged at the live broadcast client and used for capturing the live broadcast video images locally acquired by the live broadcast client;
the data processing equipment is connected with the content capturing equipment, is used for reducing the definition of the live video image to obtain a standby live video image when receiving a first trigger signal, and is also used for directly taking the live video image as the standby live video image when receiving a second trigger signal;
the compression coding equipment is connected with the data processing equipment and is used for carrying out compression coding on the standby live broadcast image so as to obtain a compressed video stream to be sent to a live broadcast server;
the data interpolation device is connected with the content grabbing device and used for executing cubic polynomial interpolation processing on the received live video image to obtain a polynomial interpolation image;
the instant sharpening device is connected with the data interpolation device and is used for carrying out high-pass filtering sharpening processing on the received data interpolation image so as to obtain a corresponding instant sharpened image;
the filtering execution device is connected with the instant sharpening device and is used for executing gradient sharpening filtering processing on the received instant sharpened image so as to obtain a current filtering image;
the data identification device is connected with the filtering execution device and used for receiving the current filtering image, identifying each human body target in the current filtering image and sending out a first trigger signal when the number of each human body target in the current filtering image is zero;
the data identification equipment is further used for sending out a second trigger signal when the number of each human body target in the current filtering image is not zero;
wherein, in the data discrimination apparatus, identifying each human target in the current filtered image comprises: and reading a reference human body shape from a built-in storage unit of the data identification device, and searching an image area matched with the reference human body shape in the current filtering image based on the reference human body shape to obtain an area of a human body target in the current filtering image.
The intelligent video parameter adjusting system has simple logic and wide application. The definition of the video pictures uploaded to the live broadcast server is determined according to the specific content of the live broadcast scene, so that the intelligent capacity of live broadcast control is improved.
Detailed Description
The following will describe in detail an embodiment of the intelligent video parameter adjustment system of the present invention.
Image processing (image processing) techniques that analyze an image with a computer to achieve a desired result. Also known as image processing. Image processing generally refers to digital image processing. Digital images are large two-dimensional arrays of elements called pixels and values called gray-scale values, which are captured by industrial cameras, video cameras, scanners, etc. Image processing techniques generally include image compression, enhancement and restoration, matching, description and identification of 3 parts.
Images, as the visual basis of the world perceived by humans, are important means for humans to acquire, express and transmit information. Digital image processing, i.e. processing images by a computer, has not been developed for a long time. Digital image processing technology originated in the 20 th century, when a photograph was transmitted from london, england, to new york, usa through submarine cables, and digital compression technology was used. Firstly, the digital image processing technology can help people to know the world more objectively and accurately, a human vision system can help people to obtain more than 3/4 information from the outside, and images and figures are carriers of all visual information, although the discrimination of human eyes is high and thousands of colors can be recognized, in many cases, the images are blurred or even invisible to the human eyes, and the blurred or even invisible images can be made to be clear and bright through the image enhancement technology.
In a computer, images can be divided into four basic types of binary images, grayscale images, index images and true color RGB images according to the number of colors and grays. Most image processing software supports these four types of images.
At present, when a main broadcast carries out network distribution of own live video, the specific content of the live video is not considered, and video images with consistent parameters are adopted for network uploading and network distribution, so that too much useless video data are uploaded and distributed during a live rest period or a pause period, and the existing network resources are seriously wasted.
In order to overcome the defects, the invention builds an intelligent video parameter adjusting system, and can effectively solve the corresponding technical problem.
The intelligent video parameter adjusting system shown according to the embodiment of the invention comprises:
the content capturing equipment is arranged at the live broadcast client and used for capturing the live broadcast video images locally acquired by the live broadcast client;
the data processing equipment is connected with the content capturing equipment, is used for reducing the definition of the live video image to obtain a standby live video image when receiving a first trigger signal, and is also used for directly taking the live video image as the standby live video image when receiving a second trigger signal;
the compression coding equipment is connected with the data processing equipment and is used for carrying out compression coding on the standby live broadcast image so as to obtain a compressed video stream to be sent to a live broadcast server;
the data interpolation device is connected with the content grabbing device and used for executing cubic polynomial interpolation processing on the received live video image to obtain a polynomial interpolation image;
the instant sharpening device is connected with the data interpolation device and is used for carrying out high-pass filtering sharpening processing on the received data interpolation image so as to obtain a corresponding instant sharpened image;
the filtering execution device is connected with the instant sharpening device and is used for executing gradient sharpening filtering processing on the received instant sharpened image so as to obtain a current filtering image;
the data identification device is connected with the filtering execution device and used for receiving the current filtering image, identifying each human body target in the current filtering image and sending out a first trigger signal when the number of each human body target in the current filtering image is zero;
the data identification equipment is further used for sending out a second trigger signal when the number of each human body target in the current filtering image is not zero;
wherein, in the data discrimination apparatus, identifying each human target in the current filtered image comprises: and reading a reference human body shape from a built-in storage unit of the data identification device, and searching an image area matched with the reference human body shape in the current filtering image based on the reference human body shape to obtain an area of a human body target in the current filtering image.
Next, the detailed structure of the intelligent video parameter adjustment system of the present invention will be further described.
The intelligent video parameter adjusting system may further include:
and the humidity sensing equipment is arranged inside the instant sharpening equipment and used for detecting the internal humidity of the instant sharpening equipment.
The intelligent video parameter adjusting system may further include:
and the humidity alarm device is connected with the humidity sensing device and used for executing corresponding humidity alarm operation when the received internal humidity of the instant sharpening device exceeds the limit.
In the intelligent video parameter adjustment system:
the humidity sensing device comprises a plurality of humidity sensors which are uniformly distributed and are respectively arranged at each position inside the instant sharpening device.
In the intelligent video parameter adjustment system:
the humidity sensing device calculates an internal humidity of the instant sharpening device based on a plurality of output data of the plurality of humidity sensors.
The intelligent video parameter adjusting system may further include:
and the parallel line socket is respectively connected with the signal output ends of the instant sharpening device, the filtering execution device and the data identification device.
In the intelligent video parameter adjustment system:
the instant sharpening device is internally provided with a serial communication interface and used for receiving a control signal sent by a user through the serial communication interface.
The intelligent video parameter adjusting system may further include:
and the buzzer is connected with the filtering execution equipment and used for executing the alarm action of the preset playing frequency when the filtering execution equipment is in an abnormal state.
In the intelligent video parameter adjustment system:
the filtering execution device and the instant sharpening device share the same data cache device, and the data cache device divides the data cache address into two segments for respectively storing the cache data of the instant sharpening device and the filtering execution device.
In the intelligent video parameter adjustment system:
and the data cache device is respectively connected with the instant sharpening device and the filtering execution device through parallel data buses.
In addition, image filtering, namely, suppressing the noise of the target image under the condition of keeping the detail features of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly affected by the quality of the processing effect.
Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.
One of the commonly used image filtering modes is a non-linear filter, generally speaking, when the signal spectrum and the noise spectrum are mixed or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or the presence of non-gaussian noise, etc.), the conventional linear filtering techniques, such as fourier transform, while filtering out noise, always blur the image details (such as edges, etc.) in some way, thereby causing the positioning accuracy of the image linear features and the extractability of the features to be reduced. The nonlinear filter is based on a nonlinear mapping relation of an input signal, a specific noise can be mapped to be zero approximately, the main characteristic of the signal is reserved, and therefore the nonlinear filter can overcome the defects of the linear filter to a certain extent.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. An intelligent video parameter adjustment system, comprising:
the content capturing equipment is arranged at the live broadcast client and used for capturing the live broadcast video images locally acquired by the live broadcast client;
the data processing equipment is connected with the content capturing equipment, is used for reducing the definition of the live video image to obtain a standby live video image when receiving a first trigger signal, and is also used for directly taking the live video image as the standby live video image when receiving a second trigger signal;
the compression coding equipment is connected with the data processing equipment and is used for carrying out compression coding on the standby live broadcast image so as to obtain a compressed video stream to be sent to a live broadcast server;
the data interpolation device is connected with the content grabbing device and used for executing cubic polynomial interpolation processing on the received live video image to obtain a polynomial interpolation image;
the instant sharpening device is connected with the data interpolation device and is used for carrying out high-pass filtering sharpening processing on the received data interpolation image so as to obtain a corresponding instant sharpened image;
the filtering execution device is connected with the instant sharpening device and is used for executing gradient sharpening filtering processing on the received instant sharpened image so as to obtain a current filtering image;
the data identification device is connected with the filtering execution device and used for receiving the current filtering image, identifying each human body target in the current filtering image and sending out a first trigger signal when the number of each human body target in the current filtering image is zero;
the data identification equipment is further used for sending out a second trigger signal when the number of each human body target in the current filtering image is not zero;
wherein, in the data discrimination apparatus, identifying each human target in the current filtered image comprises: and reading a reference human body shape from a built-in storage unit of the data identification device, and searching an image area matched with the reference human body shape in the current filtering image based on the reference human body shape to obtain an area of a human body target in the current filtering image.
2. The intelligent video parameter adjustment system of claim 1, further comprising:
and the humidity sensing equipment is arranged inside the instant sharpening equipment and used for detecting the internal humidity of the instant sharpening equipment.
3. The intelligent video parameter adjustment system of claim 2, further comprising:
and the humidity alarm device is connected with the humidity sensing device and used for executing corresponding humidity alarm operation when the received internal humidity of the instant sharpening device exceeds the limit.
4. The intelligent video parameter adjustment system of claim 3, wherein:
the humidity sensing device comprises a plurality of humidity sensors which are uniformly distributed and are respectively arranged at each position inside the instant sharpening device.
5. The intelligent video parameter adjustment system of claim 4, wherein:
the humidity sensing device calculates an internal humidity of the instant sharpening device based on a plurality of output data of the plurality of humidity sensors.
6. The intelligent video parameter adjustment system of claim 5, further comprising:
and the parallel line socket is respectively connected with the signal output ends of the instant sharpening device, the filtering execution device and the data identification device.
7. The intelligent video parameter adjustment system of claim 6, wherein:
the instant sharpening device is internally provided with a serial communication interface and used for receiving a control signal sent by a user through the serial communication interface.
8. The intelligent video parameter adjustment system of claim 7, further comprising:
and the buzzer is connected with the filtering execution equipment and used for executing the alarm action of the preset playing frequency when the filtering execution equipment is in an abnormal state.
9. The intelligent video parameter adjustment system of claim 8, wherein:
the filtering execution device and the instant sharpening device share the same data cache device, and the data cache device divides the data cache address into two segments for respectively storing the cache data of the instant sharpening device and the filtering execution device.
10. The intelligent video parameter adjustment system of claim 9, wherein:
and the data cache device is respectively connected with the instant sharpening device and the filtering execution device through parallel data buses.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911249317.8A CN113038147A (en) | 2019-12-09 | 2019-12-09 | Intelligent video parameter adjusting system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911249317.8A CN113038147A (en) | 2019-12-09 | 2019-12-09 | Intelligent video parameter adjusting system |
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| CN113038147A true CN113038147A (en) | 2021-06-25 |
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| CN201911249317.8A Withdrawn CN113038147A (en) | 2019-12-09 | 2019-12-09 | Intelligent video parameter adjusting system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114584831A (en) * | 2022-01-20 | 2022-06-03 | 百果园技术(新加坡)有限公司 | Video optimization processing method, device, equipment and storage medium for improving video definition |
-
2019
- 2019-12-09 CN CN201911249317.8A patent/CN113038147A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114584831A (en) * | 2022-01-20 | 2022-06-03 | 百果园技术(新加坡)有限公司 | Video optimization processing method, device, equipment and storage medium for improving video definition |
| CN114584831B (en) * | 2022-01-20 | 2024-04-02 | 百果园技术(新加坡)有限公司 | Video optimization processing method, device, equipment and storage medium for improving video definition |
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Application publication date: 20210625 |