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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kwaśnicka, Halina (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jain, Lakhmi C. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Intelligent Systems Reference Library, 145
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.