By Yo Sung Ho
This publication goals to collect fresh advances and functions of video coding. All chapters will be worthy for researchers, engineers, graduate and postgraduate scholars, specialists during this sector, and confidently additionally for those that are ordinarily drawn to video coding. The ebook contains 9 rigorously chosen chapters. The chapters care for complex compression options for multimedia functions, relating fresh video coding criteria, excessive potency video coding (HEVC), a number of description coding, area of curiosity (ROI) coding, form repayment, errors resilient algorithms for H.264/AVC, wavelet-based coding, facial video coding, and implementations. This e-book presents numerous priceless principles to your personal learn and is helping to bridge the distance among the fundamental video coding strategies and useful multimedia functions. we are hoping this ebook is pleasing to learn and may additional give a contribution to video coding.
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Additional info for Advanced Video Coding for Next-Generation Multimedia Services
264/AVC video encoder while MDCLVQ-Motion JPEG2000 uses the Motion JPEG2000 video encoder. Therefore, both schemes are shown in a single schematic diagram in Fig. 4. The MDCLVQ video coding scheme is described in following subsections. In the proposed MDCLVQ scheme A2 lattice points are used as the codebooks of the quantizer and the coinciding similar sublattice points are used as the labels. The schematic diagram of the MDCLVQ is illustrated in Fig. 6. The MDCLVQ scheme includes: the wavelet transformation module, the vectorization module, the LVQ module, the labeling function module, the arithmetic coder/decoder module, and the MD decoders.
Suppose that a given video source requires R b/s to be encoded by a single encoder. On the other hand, if for the same video source, the first description of the MD coding scheme requires R1 b/s and the second description requires R2 b/s. The bit rate efficiency is defined as Reff = R - ( R1 + R2) R (27) The bit rate efficiency Reff is defined so that the performance of the proposed MD coding scheme is compared with the original video encoder in terms of the required bit rate. Thus, if the MD video coding scheme can encode both side videos with total bit rate (R1+R2) ≤ R then the bit rate efficiency Reff will be positive and the MD coding is outperforming the original encoder.
The rule for assigning labels within ε (O )to points within Ssv (O ) is the parallelogram law. According to the parallelogram law if a lattice point λ is labelled using e = (λ '1 , λ2' ). Then, sum of the side distortions, (λ - λ1' )2 + (λ - λ2' )2is equal to 1 2 (λ1' - λ2' )2 + 2(λ - ) , where λ1' + λ2' 2 2 λ1' + λ2' 2 is the midpoint of the label. Thus, in order to minimize the distortions, the algorithm chooses the shortest label that its mid point is as close as possible to the lattice point.