Description: Fusion in Computer Vision : Understanding Complex Visual Content, Hardcover by Ionescu, Bogdan (EDT); Benois-pineau, Jenny (EDT); Piatrik, Tomas (EDT); Quénot, Georges (EDT), ISBN 3319056956, ISBN-13 9783319056951, Brand New, Free shipping in the US This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content.
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Book Title: Fusion in Computer Vision : Understanding Complex Visual Content
Number of Pages: Xiv, 272 Pages
Publication Name: Fusion in Computer Vision : Understanding Complex Visual Content
Language: English
Publisher: Springer International Publishing A&G
Subject: Image Processing, Intelligence (Ai) & Semantics, Interactive & Multimedia, Computer Vision & Pattern Recognition
Publication Year: 2014
Type: Textbook
Item Weight: 214.6 Oz
Author: Jenny Benois-Pineau
Item Length: 9.3 in
Subject Area: Computers
Item Width: 6.1 in
Series: Advances in Computer Vision and Pattern Recognition Ser.
Format: Hardcover
