, , , e.a.

Fusion in Computer Vision

Understanding Complex Visual Content

Gebonden Engels 2014 2014e druk 9783319056951
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783319056951
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:272
Uitgever:Springer International Publishing
Druk:2014

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Inhoudsopgave

<p>A Selective Weighted Late Fusion for Visual Concept Recognition<br>Ningning Liu, Emmanuel Dellandréa, Bruno Tellez, and Liming Chen</p><p><p>Bag-of-Words Image Representation: Key Ideas and Further Insight<br>Marc T. Law, Nicolas Thome, and Matthieu Cord</p><p><p>Hierarchical Late Fusion for Concept Detection in Videos<br>Sabin Tiberius Strat, Alexandre Benoit, Patrick Lambert, Hervé Bredin, and Georges Quénot</p><p><p>Fusion of Multiple Visual Cues for Object Recognition in Video<br>I. Gonsalez-Diaz, J. Benois-Pineau, V. Buso, and H. Boujut</p><p><p>Evaluating Multimedia Features and Fusion for Example-Based Event Detection<br>Gregory K. Myers, Cees G.M. Snoek, Ramakant Nevatia, Ramesh Nallapati, Julien van Hout, Stephanie Pancoast, Chen Sun, Amirhossein Habibian, Dennis C. Koelma, Koen E. A. van de Sande, and Arnold W.M. Smeulders</p><p><p>Rotation-Based Ensemble Classifiers for High Dimensional Data<br>Junshi Xia, Jocelyn Chanussot, Peijun Du, and Xiyan He</p><p><p>Multimodal Fusion in Surveillance Applications<br>Virginia Fernandez Arguedas, Qianni Zhang, and Ebroul Izquierdo</p><p><p>Multimodal Violence Detection in Hollywood Movies: State-of-the-Art and Benchmarking<br>Claire-Hélene Demarty and Cédric Penet and Bogdan Ionescu and Guillaume Gravier, and Mohammad Soleymani</p><p><p>Fusion Techniques in Biomedical Information Retrieval<br>Alba Garcıa Seco de Herrera and Henning Muller</p><p><p>Using Crowdsourcing to Capture Complexity in Human Interpretations of Multimedia Content<br>Martha Larson, Mark Melenhorst, Maria Menendez, and Peng Xu</p>

Managementboek Top 100

Rubrieken

    Personen

      Trefwoorden

        Fusion in Computer Vision