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.
Produkteigenschaften
- Artikelnummer: 9783319056951
- Medium: Buch
- ISBN: 978-3-319-05695-1
- Verlag: Springer International Publishing
- Erscheinungstermin: 10.04.2014
- Sprache(n): Englisch
- Auflage: 2014
- Serie: Advances in Computer Vision and Pattern Recognition
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 6083 g
- Seiten: 272
- Format (B x H x T): 160 x 241 x 22 mm
- Ausgabetyp: Kein, Unbekannt