Swarm Intelligence in Wavelet Based Video Coding

Thamarai, M.; Shanmugalakshmi, R.

doi:10.5772/16685

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…In paper [14], video coding is formulated as a multi objective problem and the objective functions are identified as MSE, Coefficient reduction factor. The weighted aggregate method of MOPSO is used to find the optimum subbands of DDWT.…”

Section: Introductionmentioning

confidence: 99%

Video Coding Technique with Multi Objective Particle Swarm Optimization and EZW

Thamarai¹,

Shanmugalakshmi²

2016

Journal of Electrical Engineering and Technology

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-Video coding plays an important role in video transmission and storage applications.Today's increasing order of multimedia applications led to a lot of research works in video coding in such a way that high compression ratio is achieved with the available bandwidth. Wavelet based image compression has witnessed great success in the past decade. Wavelet transform based motion compensated video codec performs better compression in order to meet the rate and distortion constraint in video transmission than the block based techniques. However, it is well known that the 2D DWT does not represent directional features of images efficiently. Lots of efforts have been put into multiscale directional representation. In this paper, video coding using directional transform DDWT is considered and its expansive nature is reduced by noise shaping algorithm. High compression ratio is achieved through the selection of optimal coefficients of DDWT using Multi Objective Particle Swarm Optimization (MOPSO) method. In this video coding technique, the objective functions of Entropy, Computation Time and Mean Square Error are considered for optimization with the constraints of bits per pixel and frame rate. The selected optimum coefficients are encoded using EZW method. The performance of the proposed method is compared with the standard 3D SPIHT coding.

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Section: Introductionmentioning

confidence: 99%

Video Coding Technique with Multi Objective Particle Swarm Optimization and EZW

Thamarai¹,

Shanmugalakshmi²

2016

Journal of Electrical Engineering and Technology

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“…So we go for 3D-Wavelet based coders. Discrete Wavelet Transform is commonly used Wavelet Transform (DWT), but having limitations such as aliasing, oscillatory nature of coefficients and lack of directionality as discussed in Thamarai and Shanmugalakshmi (2011). Dual Tree Complex Wavelet (DTCWT) Transform is more suitable for video coding with the kernel functions having the capability of directional property, eliminating motion estimation and compensation process.…”

Section: Introductionmentioning

confidence: 99%

Video Coding Technique Using 3d Dualtree Discrete Wavelet Transform With Multi Objective Particle Swarm Optimization Approaches

Muthusamy¹

2013

American Journal of Applied Sciences

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Wavelet-based image compression with Wavelet transform based motion compensated video codec performs better compression to meet the rate and distortion constraints in video transmission with the available bandwidth than the block based techniques. However, it is well known that the 2D DWT does not represent directional features of images efficiently. Lots of efforts have been contributed to multiscale directional representation. In this study Video coding using Dualtree Discrete Wavelet Transform is considered and its expansive nature is reduced by noise shaping algorithm and high compression ratio is achieved by means of the selection of optimal coefficients using MOPSO method. In Multiobjective Optimization (MO) problems, more than one objective functions have to be minimized simultaneously. In the proposed method, Entropy of the sub bands and Mean square error are considered for optimization with the constraints of frame rate. The two different types of MOPSO approaches such as weighted aggregation approach and Vector Evaluated PSO are used to select the optimum subbands. The two techniques outputs are compared with the standard 3D SPIHT coding

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Swarm Intelligence in Wavelet Based Video Coding

Cited by 2 publications

References 2 publications

Video Coding Technique with Multi Objective Particle Swarm Optimization and EZW

Video Coding Technique with Multi Objective Particle Swarm Optimization and EZW

Video Coding Technique Using 3d Dualtree Discrete Wavelet Transform With Multi Objective Particle Swarm Optimization Approaches

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