Digital Video Image Quality and Perceptual Coding

In the special sports camera, there are subframes. A lens is composed of multiple frames. It will be unclear if a frame is cut out. The definition of video screenshots lies in the quality of video. To get clear screenshots, we need to find clear video. The purpose of this paper is to analyze and evaluate the quality of sports video images. Through the semantic analysis and program design of video using computer language, the video images are matched with the data model constructed by research, and the real-time analysis of sports video images is formed, so as to achieve the real-time analysis effect of sports techniques and tactics. In view of the defects of rough image segmentation and high spatial distortion rate in current sports video image evaluation methods, this paper proposes a sports video image evaluation method based on BP neural network perception. The results show that the optimized algorithm can overcome the slow convergence of weights of traditional algorithm and the oscillation in error convergence of variable step size algorithm. The optimized algorithm will significantly reduce the learning error of neural network and the overall error of network quality classification and greatly improve the accuracy of evaluation. Sanda motion video image quality evaluation method based on BP (back propagation) neural network perception has high spatial accuracy, good noise iteration performance, and low spatial distortion rate, so it can accurately evaluate Sanda motion video image quality.

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Digital Video Image Preprocessing Algorithm Based on Embedded System

Journal of Physics Conference Series ◽

10.1088/1742-6596/2074/1/012004 ◽

2021 ◽

Vol 2074 (1) ◽

pp. 012004

Author(s):

Ling Cheng

Keyword(s):

Embedded System ◽

Digital Video ◽

Video Image ◽

Network Interface ◽

Median Filtering ◽

Image Preprocessing ◽

Filtering Algorithm ◽

Video Images ◽

Low Illumination ◽

Wavelet Image

Abstract To solve the massive noise contained in the images acquired under low illumination, we designed a digital video image Preprocessing device with the denoising function. Based on the embedded CPU and operating system, video images are acquired by the camera. The noise contained in the video images is filtered by the improved median filtering algorithm and wavelet image denoising. Subsequently, the images are transmitted through USB and network interface, and the storage function of image files is implemented. The device can remove the noise contained in videos effectively, which is conducive to performing more advanced processing on the images.

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The Video Quality Experts Group: Evaluates Objective Methods of Video Image Quality Assessment

140th SMPTE Technical Conference and Exhibit ◽

10.5594/m00304 ◽

1998 ◽

Cited By ~ 2

Author(s):

Philip Corriveau ◽

Arthur Webster

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Image Quality Assessment ◽

Video Quality ◽

Video Image

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Visual Reinforcement Audiometry Using Digital Video Disc and Conventional Reinforcers

American Journal of Audiology ◽

10.1044/1059-0889(2003/008) ◽

2003 ◽

Vol 12 (1) ◽

pp. 35-40 ◽

Cited By ~ 8

Author(s):

Milton J. Schmida ◽

Harry J. Peterson ◽

Anne Marie Tharpe

Keyword(s):

Digital Video ◽

New Technology ◽

Test Procedure ◽

Three Dimensional ◽

Video Image ◽

Head Turn ◽

Visual Reinforcement ◽

Digital Video Disc ◽

Video Images ◽

Video Disc

Visual reinforcement audiometry (VRA) is a test procedure routinely used to evaluate hearing in infants and young children (6 months to 2 years). Most research and current clinical practice uses flashing lights and/or animated toys to provide reinforcement to a child during VRA. New technology capable of generating a moving video image is now available for providing visual reinforcement to infants during VRA testing. It is reasonable to expect that video images, with presumed greater novelty and complexity, would be more interesting and rewarding to children than conventional, animated mechanical toy reinforcers. On the other hand, in today’s society, children are frequently exposed to video images in the home and elsewhere. Therefore, three-dimensional animated toys may present with greater novelty than video images. The purpose of this study was to compare auditory localization behavior, as defined by the number of head turn responses until habituation, during VRA with 2-year-old children using two types of reinforcers: (a) moving images generated by a digital video disc player/monitor and (b) a conventional, animated mechanical toy. Twenty children were selected randomly from a total group of 40 and tested using conventional reinforcement. The remaining 20 children were tested using video reinforcement. The average number of head turn responses prior to habituation was approximately 15 for the video-reinforced group and approximately 11 for the conventional toy-reinforced group, suggesting that during VRA a video image may be more reinforcing than a conventional animated toy.

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Research of Compression System of Video Image

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.433-440.3591 ◽

2012 ◽

Vol 433-440 ◽

pp. 3591-3595

Author(s):

Cong Jiu Zhong ◽

Zong An Guan

Keyword(s):

Video Compression ◽

Digital Video ◽

Video Image ◽

Compression System ◽

Web Video ◽

Pci Interface

The quantity of information of digital Video image is huge and it is too difficult to be storaged and transmitted. Compression is a indispensable instrumentality .The text introduces MPEG-4, coding structure and expression of MPEG-4. A compression system of video is designed based on MAP-CA. The system can accomplish two-route-MPEG-4-video compression at the same time. It supports the video image previewed realtime. The video image can be straight carried to the storage. The code stream compressed is also straight carried to the memory. The CPU needn’t do anything in the process. It may no busy resource of CPU if it makes the image carried to the storage by PCI interface. The system is specially the same with DV, Tele-digital supervision, Web video applying, etc .

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