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Fusion in computer vision [electronic resource] : understanding complex visual content

Fusion in computer vision [electronic resource] : understanding complex visual content

Material type
E-Book(소장)
Personal Author
Ionescu, Bogdan.
Title Statement
Fusion in computer vision [electronic resource] : understanding complex visual content / Bogdan Ionescu ... [et al.], editors.
Publication, Distribution, etc
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
Physical Medium
1 online resource (xiv, 272 p.) : ill. (some col.).
Series Statement
Advances in computer vision and pattern recognition,2191-6586
ISBN
9783319056968
요약
Visual content understanding is a complex and important challenge for applications in automatic multimedia information indexing, medicine, robotics, and surveillance. Yet the performance of such systems can be improved by the fusion of individual modalities/techniques for content representation and machine learning. This comprehensive text/reference presents a thorough overview of Fusion in Computer Vision, from an interdisciplinary and multi-application viewpoint. Presenting contributions from an international selection of experts, the work describes numerous successful approaches, evaluated in the context of international benchmarks that model realistic use cases at significant scales. Topics and features: Examines late fusion approaches for concept recognition in images and videos, including the bag-of-words model 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 This authoritative collection is essential reading for researchers and students interested in the domain of information fusion for complex visual content understanding, and related fields.
General Note
Title from e-Book title page.  
Content Notes
A Selective Weighted Late Fusion for Visual Concept Recognition -- Bag-of-Words Image Representation: Key Ideas and Further Insight -- Hierarchical Late Fusion for Concept Detection in Videos -- Fusion of Multiple Visual Cues for Object Recognition in Video -- Evaluating Multimedia Features and Fusion for Example-Based Event Detection -- Rotation-Based Ensemble Classifiers for High Dimensional Data -- Multimodal Fusion in Surveillance Applications -- Multimodal Violence Detection in Hollywood Movies: State-of-the-Art and Benchmarking -- Fusion Techniques in Biomedical Information Retrieval -- Using Crowdsourcing to Capture Complexity in Human Interpretations of Multimedia Content.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Computer vision.
Short cut
URL
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020 ▼a 9783319056968
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050 4 ▼a TA1634
082 0 4 ▼a 006.37 ▼2 23
084 ▼a 006.37 ▼2 DDCK
090 ▼a 006.37
245 0 0 ▼a Fusion in computer vision ▼h [electronic resource] : ▼b understanding complex visual content / ▼c Bogdan Ionescu ... [et al.], editors.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xiv, 272 p.) : ▼b ill. (some col.).
490 1 ▼a Advances in computer vision and pattern recognition, ▼x 2191-6586
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a A Selective Weighted Late Fusion for Visual Concept Recognition -- Bag-of-Words Image Representation: Key Ideas and Further Insight -- Hierarchical Late Fusion for Concept Detection in Videos -- Fusion of Multiple Visual Cues for Object Recognition in Video -- Evaluating Multimedia Features and Fusion for Example-Based Event Detection -- Rotation-Based Ensemble Classifiers for High Dimensional Data -- Multimodal Fusion in Surveillance Applications -- Multimodal Violence Detection in Hollywood Movies: State-of-the-Art and Benchmarking -- Fusion Techniques in Biomedical Information Retrieval -- Using Crowdsourcing to Capture Complexity in Human Interpretations of Multimedia Content.
520 ▼a Visual content understanding is a complex and important challenge for applications in automatic multimedia information indexing, medicine, robotics, and surveillance. Yet the performance of such systems can be improved by the fusion of individual modalities/techniques for content representation and machine learning. This comprehensive text/reference presents a thorough overview of Fusion in Computer Vision, from an interdisciplinary and multi-application viewpoint. Presenting contributions from an international selection of experts, the work describes numerous successful approaches, evaluated in the context of international benchmarks that model realistic use cases at significant scales. Topics and features: Examines late fusion approaches for concept recognition in images and videos, including the bag-of-words model 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 This authoritative collection is essential reading for researchers and students interested in the domain of information fusion for complex visual content understanding, and related fields.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer vision.
700 1 ▼a Ionescu, Bogdan.
830 0 ▼a Advances in computer vision and pattern recognition.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-05696-8
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.37 Accession No. E14033428 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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