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2014, ISBN: 9783319056951

Visual content understanding is a complex and important challenge for applications in automatic multimedia information indexing, medicine, robotics, and surveillance. Yet the performance … Altro …

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Herausgegeben:Piatrik, Tomas; Ionescu, Bogdan; Quénot, Georges; Benois-Pineau, Jenny:

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2014, ISBN: 9783319056951

[ED: Hardcover], [PU: Springer / Springer International Publishing / Springer, Berlin], This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and … Altro …

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Fusion in Computer Vision Understanding Complex Visual Content - Ionescu, Bogdan (Herausgeber); Quénot, Georges (Herausgeber); Piatrik, Tomas (Herausgeber); Benois-Pineau, Jenny (Herausgeber)
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Ionescu, Bogdan (Herausgeber); Quénot, Georges (Herausgeber); Piatrik, Tomas (Herausgeber); Benois-Pineau, Jenny (Herausgeber):
Fusion in Computer Vision Understanding Complex Visual Content - copertina rigida, flessible

2014

ISBN: 3319056956

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Ionescu, Bogdan, Jenny Benois-Pineau und Tomas Piatrik:
Fusion in Computer Vision Understanding Complex Visual Content - libri usati

2014, ISBN: 9783319056951

[PU: Springer International Publishing], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24571351/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 201… Altro …

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Fusion in Computer Vision Understanding Complex Visual Content - Ionescu, Bogdan, Jenny Benois-Pineau und Tomas Piatrik
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Ionescu, Bogdan, Jenny Benois-Pineau und Tomas Piatrik:
Fusion in Computer Vision Understanding Complex Visual Content - libri usati

2014, ISBN: 9783319056951

[PU: Springer International Publishing], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24571351/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 201… Altro …

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Dettagli del libro
Fusion in Computer Vision
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Titolo:
ISBN:

9783319056951


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.

Informazioni dettagliate del libro - Fusion in Computer Vision


EAN (ISBN-13): 9783319056951
ISBN (ISBN-10): 3319056956
Copertina rigida
Anno di pubblicazione: 2014
Editore: Springer International Publishing

Libro nella banca dati dal 2014-05-18T19:24:29+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-09-28T14:13:13+02:00 (Zurich)
ISBN/EAN: 9783319056951

ISBN - Stili di scrittura alternativi:
3-319-05695-6, 978-3-319-05695-1
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : tomas, bogdan, georges, ionescu, que, bog, ion, piat, pineau, jen george, benois, jenny
Titolo del libro: fusion, before the computer, computer vision, visual complex, bogdan, pattern recognition, pattern book, content

Dati dell'editore

Autore: Bogdan Ionescu; Jenny Benois-Pineau; Tomas Piatrik; Georges Quénot
Titolo: Advances in Computer Vision and Pattern Recognition; Fusion in Computer Vision - Understanding Complex Visual Content
Editore: Springer; Springer International Publishing
272 Pagine
Anno di pubblicazione: 2014-04-10
Cham; CH
Stampato / Fatto in
Lingua: Inglese
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XIV, 272 p. 74 illus., 65 illus. in color.

BB; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; Bagging and Boosting Methods; Contextual Fusion; Data Dimensionality Reduction; Early Fusion; Feature Fusion; Hierarchical and Community-Based Fusion; Kernel Fusion; Late Fusion; Legal, Ethical and Social Concepts of Fusion; Metric Spaces; Multimodal Fusion; Normalization for Fusion; Social Media Fusion and Mining; Computer Vision; Multimedia Information Systems; Artificial Intelligence; Data Mining and Knowledge Discovery; Grafische und digitale Media-Anwendungen; Künstliche Intelligenz; Data Mining; Wissensbasierte Systeme, Expertensysteme; EA; BC

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.

Dr. Bogdan Ionescu Dr. Jenny Benois-Pineau Dr. Tomas Piatrik Dr. Georges Quénot

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.

, 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.

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.

Fusion in Computer Vision Topics and features:
Examines information fusion in the context of multimodal and multidimensional data representation, i.e., video, image and text Presents a focus on information fusion for tackling higher-level description of multimedia information Discusses the latest research on a broad range of multimedia information fusion techniques Includes supplementary material: sn.pub/extras

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