Fusion in Computer Vision : Understanding Complex Visual Content
Overview
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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Details
- ISBN-13: 9783319056951
- ISBN-10: 3319056956
- Publisher: Springer
- Publish Date: April 2014
- Dimensions: 9.2 x 6 x 0.8 inches
- Shipping Weight: 1.55 pounds
- Page Count: 272
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