Sub-image Searching Through Intersection of Local Descriptors

HOMOLA, Tomáš, Vlastislav DOHNAL and Pavel ZEZULA. Sub-image Searching Through Intersection of Local Descriptors. In 3rd International Conference on Similarity Search and Applications (SISAP 2010). New York: ACM Press, 2010, p. 127-128. ISBN 978-1-4503-0420-7.

Basic information

Original name

Sub-image Searching Through Intersection of Local Descriptors

Authors

HOMOLA, Tomáš (203 Czech Republic, belonging to the institution), Vlastislav DOHNAL (203 Czech Republic, guarantor, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)

Edition

New York, 3rd International Conference on Similarity Search and Applications (SISAP 2010), p. 127-128, 2 pp. 2010

Publisher

ACM Press

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Turkey

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/10:00044856

Organization unit

Faculty of Informatics

ISBN

978-1-4503-0420-7

Keywords in English

sub image retrieval

Tags

DISA

Tags

International impact, Reviewed

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Abstract

V originále

The complexity of search in current business intelligence systems, academic research, or even the home audiovisual databases grows up rapidly. Users require searching by the content of their data. For example, the user sees a cathedral while watching a movie and by taking a snapshot, his or her private collection of holiday photos can be searched for images containing that cathedral. In practice, it is not sufficient to store data and search in it by exact match but rather by means of similarity, i.e. retrieving data items similar to a query item. Similarity searching is especially requested in multimedia databases, digital right management systems, computer aided diagnosis, but also in natural sciences and psychology. In these fields, theoretical primal background for querying by similarity is already defined. In this demonstration, we focus on similarity searching from the perspective of identifying and locating an object depicted in a query image in a collection of images.

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Links

GAP103/10/0886, research and development project	Name: Vizuální vyhledávání obrázků na Webu (Acronym: VisualWeb) Investor: Czech Science Foundation, Content-based Image Retrieval on the Web Scale
GA201/09/0683, research and development project	Name: Vyhledávání v rozsáhlých multimediálních databázích Investor: Czech Science Foundation, Similarity Searching in Very Large Multimedia Databases
MUNI/A/0922/2009, interní kód MU	Name: Aplikovaný výzkum Fakulty informatiky (Acronym: AVFI) Investor: Masaryk University, Category A