Imperial college at TRECVID

2005 TREC Video Retrieval Evaluation Notebook Papers

Volumn , Issue , 2005, Pages

  Jesus, Rui ^b   Magalhães, João ^a   Yavlinsky, Alexei ^a   Rüger, Stefan ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE SEGMENTATION;

COLOUR HISTOGRAMS; CONTENT-BASED SEARCH; HIGH-LEVEL FEATURE EXTRACTIONS; HIGH-LEVEL FEATURES; IMPERIAL COLLEGE; NONPARAMETRIC DENSITY ESTIMATION; RELEVANCE FEEDBACK METHOD; SHOT BOUNDARY DETECTION;

IMAGE RETRIEVAL;

EID: 84905166315     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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2. Hastie, T., Tibshirani, R., & Friedman, J. (2001). The elements of statistical learning: Data mining, inference and prediction: Springer.
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9. Pye, D., Hollinghurst, N. J., Mills, T. J., & R. Wood, K. (1998). Audio-visual segmentation for content-based retrieval. Int'l Conference on Spoken Language Processing, Sydney, Australia.
10. Tamura, H., Mori, S., & Yamawaki, T. (1978). Textural features corresponding to visual perception. IEEE Transactions on Systems, Man and Cybernetics, 8(6), 460-472.
11. Yavlinsky, A., Schofield, E., & Rüger, S. (2005). Automated image annotation using global features and robust nonparametric density estimation. Int'l Conference on Image and Video Retrieval, Singapore.
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