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Fusion in Computer Vision Understanding Complex Visual Content /

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...

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Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Ionescu, Bogdan. (Argitaratzailea, http://id.loc.gov/vocabulary/relators/edt), Benois-Pineau, Jenny. (Argitaratzailea, http://id.loc.gov/vocabulary/relators/edt), Piatrik, Tomas. (Argitaratzailea, http://id.loc.gov/vocabulary/relators/edt), Quénot, Georges. (Argitaratzailea, http://id.loc.gov/vocabulary/relators/edt)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:English
Argitaratua: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edizioa:1st ed. 2014.
Saila:Advances in Computer Vision and Pattern Recognition,
Gaiak:
Optical data processing.
Multimedia information systems.
Artificial intelligence.
Data mining.
Image Processing and Computer Vision.
Multimedia Information Systems.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Sarrera elektronikoa:https://doi.org/10.1007/978-3-319-05696-8
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • 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.

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