Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data. Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.
Produktkennzeichnungen
ISBN-10
1461351065
ISBN-13
9781461351061
eBay Product ID (ePID)
168370754
Produkt Hauptmerkmale
Produktart
Lehrbuch
Sprache
Englisch
Anzahl der Seiten
208 Seiten
Verlag
Springer Us
Publikationsname
Exploration of Visual Data
Autor
Sean Xiang Zhou
Format
Taschenbuch
Erscheinungsjahr
2012
Zusätzliche Produkteigenschaften
Hörbuch
No
Inhaltsbeschreibung
Paperback
Item Length
23cm
Item Height
1cm
Item Width
15cm
Nummer Innerhalb der Serie
7
Mitautor
Thomas S. Huang, Yong Rui
Item Weight
324g
Buchreihe
The International Series in Video Computing
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