High-Dimensional and Low-Quality Visual Information Processing From Structured Sensing and Understanding /

• Main Author: Deng, Yue (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: Engineering.; Data structures (Computer science).; Data mining.; Image processing.; Signal, Image and Speech Processing.; Image Processing and Computer Vision.; Data Structures, Cryptology and Information Theory.; Data Mining and Knowledge Discovery.

This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, i...

Table of Contents:

• Introduction
• Sparse Structure for Visual Signal Sensing
• Graph Structure for Visual Signal Sensing
• Discriminative Structure for Visual Signal Understanding
• Information Theoretic Structure for Visual Signal Understanding
• Conclusions.