Image classification using probability higher-order local auto-correlations

Tetsu Matsukawa; Takio Kurita

doi:10.1007/978-3-642-12297-2_37

Image classification using probability higher-order local auto-correlations

Tetsu Matsukawa, Takio Kurita

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an extension of bag-of-features approach to posterior probability images. Standard bag-of-features is approximately thought as sum of posterior probabilities on probability images, and spatial co-occurrences of posterior probability are not utilized. Thus, its descriptive ability is limited. However, using local auto-correlations of probability images, the proposed method extracts richer information than the standard bag-of-features. Experimental results show the proposed method is enable to have higher classification performances than the standard bag-of-features.

Original language	English
Title of host publication	Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
Pages	384-394
Number of pages	11
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-12297-2_37
Publication status	Published - Dec 29 2010
Externally published	Yes
Event	9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, China Duration: Sept 23 2009 → Sept 27 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	5996 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th Asian Conference on Computer Vision, ACCV 2009
Country/Territory	China
City	Xi'an
Period	9/23/09 → 9/27/09

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-12297-2_37

Cite this

Matsukawa, T., & Kurita, T. (2010). Image classification using probability higher-order local auto-correlations. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers (PART 3 ed., pp. 384-394). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5996 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-12297-2_37

Image classification using probability higher-order local auto-correlations. / Matsukawa, Tetsu; Kurita, Takio.

Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3. ed. 2010. p. 384-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5996 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Matsukawa, T & Kurita, T 2010, Image classification using probability higher-order local auto-correlations. in Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 5996 LNCS, pp. 384-394, 9th Asian Conference on Computer Vision, ACCV 2009, Xi'an, China, 9/23/09. https://doi.org/10.1007/978-3-642-12297-2_37

Matsukawa T, Kurita T. Image classification using probability higher-order local auto-correlations. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3 ed. 2010. p. 384-394. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-12297-2_37

Matsukawa, Tetsu ; Kurita, Takio. / Image classification using probability higher-order local auto-correlations. Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3. ed. 2010. pp. 384-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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Image classification using probability higher-order local auto-correlations

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