Advances in Visual Data Compression and Communication: by Feng Wu

By Feng Wu

Visual details is among the richest and such a lot bandwidth-consuming modes of communique. to fulfill the necessities of rising functions, robust info compression and transmission innovations are required to accomplish hugely effective communique, even within the presence of transforming into conversation channels that supply elevated bandwidth.

Presenting the result of the author’s years of study on visible information compression and transmission, Advances in visible facts Compression and communique: assembly the necessities of latest purposes provides a theoretical and technical foundation for complicated study on visible info compression and communication.

The publication stories the drifting challenge in scalable video coding, analyzes the explanations inflicting the matter, and proposes a number of strategies to the matter. It explores the author’s Barbell-based lifting coding scheme that has been followed as universal software program via MPEG. It additionally proposes a unified framework for deriving a directional rework from the nondirectional counterpart. The constitution of the framework and the statistic distribution of coefficients are just like these of the nondirectional transforms, which enables next entropy coding.

Exploring the visible correlation that exists in media, the textual content extends the present coding framework from diversified points, together with complicated photo synthesis―from description and reconstruction to organizing correlated pictures as a pseudo series. It explains easy methods to follow compressive sensing to unravel the information compression challenge in the course of transmission and covers novel examine on compressive sensor information collecting, random projection codes, and compressive modulation.

For analog and electronic transmission applied sciences, the e-book develops the pseudo-analog transmission for media and explores state-of-the-art examine on disbursed pseudo-analog transmission, denoising in pseudo-analog transmission, and assisting MIMO. It concludes by way of contemplating rising advancements of knowledge thought for destiny applications.

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Extra resources for Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications (Multimedia Computing, Communication and Intelligence)

Sample text

261 is the first standard based on the hybrid video coding framework, ratified in November 1988. It was originally designed for transmission over Integrated Services Digital Network (ISDN) lines on which data rates are multiples of 64 kbit/s. The input video resolutions are common intermediate format (CIF) and QCIF using a 4:2:0 format. 1. 261, only one reconstructed picture is used as reference for motion compensation. It is known as predictive (P) picture coding. The motion estimation and compensation are carried out at 8 × 8 blocks and each block has one motion vector at the integer pixel precision.

The matrix H is expressed in terms of its column as H = [h1 h2 h3 h4 h5 h6 h7 ] . 63) We can observe that the columns of H consist of the binary representations of the numbers 1 through 7, though not in numerical order. On the basis of this observation, we can generalize other Hamming codes. Hamming codes of length n = 2m − 1 and dimension k = 2m − m − 1 exist for every m ≥ 2, having parity check matrices whose columns are binary representations of the numbers from 1 through n. Supposing that a codeword y is sent and the received vector is yˆ = y + z (addition modulo 2).

The expected length L(S) is 2 bits too. 25 bits and thus FLC is not optimal. This simple example shows the importance of source coding in the information theory. According to the theory, shorter codewords should be assigned to symbols with larger probabilities, while longer codewords to symbols with smaller probabilities. This is the basis of variable length coding (VLC). How to design the set of codewords and how to assign them to the symbols are just the problems to be solved in source coding.

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