Advanced Video Coding for Next-Generation Multimedia by Yo Sung Ho PDF

By Yo Sung Ho

ISBN-10: 9535109294

ISBN-13: 9789535109297

This ebook goals to compile contemporary advances and purposes of video coding. All chapters will be necessary for researchers, engineers, graduate and postgraduate scholars, specialists during this quarter, and with a bit of luck additionally for those who are as a rule drawn to video coding. The booklet comprises 9 conscientiously chosen chapters. The chapters care for complicated compression ideas for multimedia purposes, referring to fresh video coding criteria, excessive potency video coding (HEVC), a number of description coding, quarter of curiosity (ROI) coding, form repayment, blunders resilient algorithms for H.264/AVC, wavelet-based coding, facial video coding, and implementations. This ebook presents a number of important principles in your personal learn and is helping to bridge the space among the fundamental video coding thoughts and useful multimedia functions. we are hoping this booklet is agreeable to learn and may additional give a contribution to video coding.

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2001) 25 26 Advanced Video Coding for Next-Generation Multimedia Services V (λ ) ≜ { x ∈ R : x - λ ≤ x - λ ' , ∀ λ ' ∈ Λ } n (10) As a consequence, all the points within V (λ )must be quantized to λ . The Voronoi regions of the points in the A2 are hexagons; therefore, it is called the hexagonal lattice. The Voronoi region of a sublattice point λ ' is the set of all lattice points that are closer to λ ' than any other sublattice points. Thus, the Voronoi region of λ ' ∈ Λ' is defined as V (λ ' ) ≜ {λ ∈ Λ : λ - λ ' ≤ λ - λ " , ∀ λ " ∈ Λ '} (11) Lattice vector quantization (LVQ) is a vector quantization technique that reduces the amount of computation for codebook generation since the lattices have regular structures.

The compression efficiencies for the MDCLVQ-Motion JPEG2000 are provided in Table 6. Accord‐ ing to Table 6, the volume of the motion jpeg files generated by the MDCLVQ-Motion JPEG2000 scheme increase as the sigma is increased. Thus, as the sigma increases the encoding efficiency is decreased. 264/AVC because the encoding (compression) efficiency is due to the coarse degree of the quantization which is controlled by the sigma. 264/AVC standard has higher encoding (compression) efficiency than Motion JPEG2000.

The traditional congruency relation ≡ (mod k ) accepts natural modulus; however, the modified version of the congruency accepts real modulus. Let’s assume that λx and λ y denote the x-coordinate and y-coordinate of the lattice point λ , respectively. Although λx and λ y may take on values from an unlimited range of real numbers, using ≡ (mod k ), the remainders only take on values from a finite set of real numbers. It has been observed that according to the congruency relation the remainders are repeated in a regular pattern.

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Advanced Video Coding for Next-Generation Multimedia Services by Yo Sung Ho


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