Wavelet-Based Video Coding: Modem Implementations and Prospects of Coding Efficiency Increase

Bystrov, Kirill; Gryzov, Gennady Yu.; Dvorkovich, Alexander V.; Dvorkovich, Viktor P.

doi:10.1109/icent.2017.15

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…These compression techniques mainly reduce the redundant data from the video file without disturbing more of its quality. There are different video compression techniques like Discrete Cosine Transform(DCT) [4,5] and Discrete Wavelet Transforms(DWT) [6]. A variant of DCT in integer arithmetic format is used in H.264 which is called as Integer DCT.…”

Section: Introductionmentioning

confidence: 99%

Video compression based on Multiwavelet and Multi Stage Vector Quantization using Adaptive Diamond Refinement Search Algorithm

2019

ijrte

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Due to the advances in the digital technology, multimedia processing has become the essential requirement in many applications. These applications find wide use in mobile, personal computer(PC), TV, surveillance and satellite broadcast. Also it is necessary that the video coding algorithms to be updated in order to meet the requirements of latest hardware devices. The processing speed and bandwidth are essential parameters in these applications. A good video compression standard can achieve these parameters adequately. In the proposed system, the video coding standard is implemented using the three important stages. In which the first sage uses multiwavelets to achieve good compression rate. Also it reduces the memory and bandwidth requirement. Second stage is the Multi Stage Vector Quantization(MVSQ) which reduces the complexity of searching process and the size of codebook. Third stage uses Adaptive Diamond Refinement Search(ADRS) algorithm for the motion estimation which has better performance than the Adaptive Diamond Orthogonal Search(ADOS) and Diamond Refinement Search(DRS) algorithms. The combination of multiwavelet, Multi Stage Vector Quantization(MVSQ) and Adaptive Diamond Refinement Search(ADRS) algorithm gives the high compression ratios. Preliminary results indicate that the proposed method has good performance in terms of average number of search points, PSNR values and compression rates.

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Section: Introductionmentioning

confidence: 99%

Video compression based on Multiwavelet and Multi Stage Vector Quantization using Adaptive Diamond Refinement Search Algorithm

2019

ijrte

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The Use of Asymmetric Numeral Systems Entropy Encoding in Video Compression

Konstantinov

Gryzov

Bystrov

2019

Distributed Computer and Communication Networks

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Wavelet based Video Compression techniques for Industrial monitoring applications

Gunanandhini

Kalamani

Bhagavathipriya

et al. 2022

J. Phys.: Conf. Ser.

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The principle of industrial machine monitoring and vehicle camera transmission system are focusing on this paper. Video compression is widely used in many industrial applications like continuous monitoring of machines which consumes more storage by capturing every motion detection in machine, hence video coding is highly recommended for video compression without any loss in the actual video. By using wavelet transform delivers the superior localization both in frequency and time domain and its results showcases the better performance while comparing with discrete cosine transform. A comparative analysis has been carried on Video compression using Haar and orthogonal (Daubechies) wavelet. Duplicate coefficients of discrete wavelet transform is reduced by using quantization technique. It aims to attain minimum error while preserving the high peak signal to noise ratio and image quality in the acceptable range. Using PSNR as measure of quality, this paper shows that Daubechies wavelet provides the better quality of video compared to Haar wavelet. Evaluation of performance is depends upon on compression ratio, PSNR, MSE, and SSIM.

show abstract

Wavelet-Based Video Coding: Modem Implementations and Prospects of Coding Efficiency Increase

Cited by 3 publications

References 8 publications

Video compression based on Multiwavelet and Multi Stage Vector Quantization using Adaptive Diamond Refinement Search Algorithm

Video compression based on Multiwavelet and Multi Stage Vector Quantization using Adaptive Diamond Refinement Search Algorithm

The Use of Asymmetric Numeral Systems Entropy Encoding in Video Compression

Wavelet based Video Compression techniques for Industrial monitoring applications

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