Bridging the Semantic Gap in Image and Video Analysis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kwaśnicka, Halina (Editor, http://id.loc.gov/vocabulary/relators/edt), Jain, Lakhmi C. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Intelligent Systems Reference Library, 145
• Subjects: Computational intelligence.; Semantics.; Artificial intelligence.; Signal processing.; Image processing.; Speech processing systems.; Optical data processing.; Computational Intelligence.; Artificial Intelligence.; Signal, Image and Speech Processing.; Image Processing and Computer Vision.

This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recog...

Table of Contents:

• Semantic Gap in Image and Video Analysis: An Introduction
• Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study
• Scale-insensitive MSER Features: A Promising Tool for Meaningful Segmentation of Images
• Active Partitions in Localization of Semantically Important Image Structures
• Model-based 3D Object recognition in RGB-D Images
• Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning
• Deep Learning - a New Era in Bridging the Semantic Gap.