Weighted subspace filtering and ranking algorithms for video concept retrieval

Lin Lin; Chao Chen; Mei Ling Shyu; Shu Ching Chen

doi:10.1109/MMUL.2011.35

Weighted subspace filtering and ranking algorithms for video concept retrieval

Lin Lin, Chao Chen, Mei Ling Shyu, Shu Ching Chen

Electrical and Computer Engineering

Research output: Contribution to journal › Article

37 Scopus citations

Abstract

The proposed framework, with weighted subspace filtering and ranking components, is the first attempt in multimedia research to apply multiple correspondence analysis to selected features while pruning data instances.

Original language	English (US)
Article number	5765919
Pages (from-to)	32-42
Number of pages	11
Journal	IEEE Multimedia
Volume	18
Issue number	3
DOIs	https://doi.org/10.1109/MMUL.2011.35
State	Published - Jul 1 2011

Keywords

concept retrieval
dissimilarity measure
filtering
multiple correspondence analysis (MCA)
ranking

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Science Applications
Signal Processing
Media Technology

Access to Document

10.1109/MMUL.2011.35

Cite this

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title = "Weighted subspace filtering and ranking algorithms for video concept retrieval",

abstract = "The proposed framework, with weighted subspace filtering and ranking components, is the first attempt in multimedia research to apply multiple correspondence analysis to selected features while pruning data instances.",

keywords = "concept retrieval, dissimilarity measure, filtering, multiple correspondence analysis (MCA), ranking",

author = "Lin Lin and Chao Chen and Shyu, {Mei Ling} and Chen, {Shu Ching}",

year = "2011",

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doi = "10.1109/MMUL.2011.35",

language = "English (US)",

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