Information Theory in Multimedia Systems and Signal Processing

Dear Colleagues,

Entropy is one of the most useful topics in various domains, such as computer science and artificial intelligence. Most specifically, in the multimedia system and signal processing, entropy has become an important measure, e.g., in relation to understanding fundamental tradeoffs between competing resource requirements, developing practical techniques and heuristics for realizing complicated optimization and allocation strategies, and demonstrating innovative mechanisms and frameworks for large-scale multimedia applications. To this end, both theory and practice in various heterogeneous and inter-related fields, including image, video, and audio data processing, as well as new sources of multimodal data (text, social, health, etc.) are used. In this Special Issue, we focus on the analysis, design, and implementation of multimedia systems and signal processing with various tools in information theory.

Prof. Dr. Jaeyoung Choi
Guest Editor

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