Bridging the Semantic Gap in Image and Video Analysis

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...

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Gespeichert in:
Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Intelligent Systems Reference Library, 145
Schlagworte:
Computational intelligence.
Semantics.
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
ISBN:9783319738918
ISSN:1868-4394 ;
Online-Zugang: Volltext
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Inhaltsangabe:
  • 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.

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