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Item Details
| Title:
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FUSION IN COMPUTER VISION
UNDERSTANDING COMPLEX VISUAL CONTENT |
| By: |
Bogdan Ionescu (Editor), Jenny Benois-Pineau (Editor), Tomas Piatrik (Editor) |
| Format: |
Paperback |
| List price:
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£83.50 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3319347748 |
| ISBN 13: |
9783319347745 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
3 September, 2016 |
| Edition: |
Softcover reprint of the original 1st ed. 2014 |
| Series: |
Advances in Computer Vision and Pattern Recognition |
| Pages: |
272 |
| Synopsis: |
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. |
| Illustrations: |
42 Tables, black and white; 65 Illustrations, color; 9 Illustrations, black |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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