By Yo Sung Ho
This ebook goals to compile contemporary advances and purposes of video coding. All chapters could be necessary for researchers, engineers, graduate and postgraduate scholars, specialists during this quarter, and with a bit of luck additionally for those who are mostly attracted to video coding. The e-book contains 9 conscientiously chosen chapters. The chapters care for complicated compression suggestions for multimedia functions, pertaining to contemporary video coding criteria, excessive potency video coding (HEVC), a number of description coding, quarter of curiosity (ROI) coding, form reimbursement, errors resilient algorithms for H.264/AVC, wavelet-based coding, facial video coding, and implementations. This ebook presents a number of beneficial rules in your personal study and is helping to bridge the space among the elemental video coding ideas and functional multimedia purposes. we are hoping this ebook is pleasing to learn and should additional give a contribution to video coding.
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Extra resources for Advanced Video Coding for Next-Generation Multimedia Services
On the other hand, if for the same video source the first descrip‐ tion of the MD coding scheme generates a motion jpeg file with V1 (kB) and the second descrip‐ tion generates a motion jpeg V2 (kB). Then, the compresssion efficiency is defined as Ceff = V - ( V 1 + V 2) V (28) The compresssion efficiency Ceff is defined so that the performance of the proposed MD coding scheme is compared with the original video encoder in terms of the encoding efficiency. Thus, if the MD video coding scheme can encode both side videos with total volume of (V1+V2) ≤ V then the compression efficiency Ceff will be positive and the MD coding is outperforming the original encoder.
Therefore, α and β must be selected such that clean sublattices of the hexagonal lattice with a desired index is generated. In order to find the suitable values of α and β, all twofold combinations of integers [-10, -10] … [+10, +10] have been examined and only the combinations that generate clean similar sublattices of the hexagonal lattice with index N = 7 are provided in Table 1. The similar sublattices of the hexagonal with index N=7 corresponding to the generator ' provided in Table 1, are plotted in Fig.
Then, the compresssion efficiency is defined as Ceff = V - ( V 1 + V 2) V (28) The compresssion efficiency Ceff is defined so that the performance of the proposed MD coding scheme is compared with the original video encoder in terms of the encoding efficiency. Thus, if the MD video coding scheme can encode both side videos with total volume of (V1+V2) ≤ V then the compression efficiency Ceff will be positive and the MD coding is outperforming the original encoder. However, if (V1+V2) > V, then the compresssion efficiency Ceff will be negative and it indicates that the compression efficiency has been traded off for gaining error resiliency In these experiments, standard video sequences of “Akiyo”, “Coastguard”, “Carphone”, and “Foreman” with the QCIF format (144×176 pixels) are used to evaluate the performance of the proposed MDCLVQ-Motion JPEG2000 encoding scheme.
Advanced Video Coding for Next-Generation Multimedia Services by Yo Sung Ho