HOMOLA, Tomáš, Vlastislav DOHNAL and Pavel ZEZULA. Searching for Sub-images using Sequence Alignment. In IEEE International Symposium on Multimedia (ISM 2011). Los Alamitos, California: IEEE Computer Society, 2011. p. 1-8. ISBN 978-1-4577-2015-4. doi:10.1109/ISM.2011.19.
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Basic information
Original name Searching for Sub-images using Sequence Alignment
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 Los Alamitos, California, IEEE International Symposium on Multimedia (ISM 2011), p. 1-8, 8 pp. 2011.
Publisher IEEE Computer Society
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/11:00049949
Organization unit Faculty of Informatics
ISBN 978-1-4577-2015-4
Doi http://dx.doi.org/10.1109/ISM.2011.19
Keywords in English image matching; sub-image retrieval; local image features; sequence alignment
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Vlastislav Dohnal, Ph.D., učo 2952. Changed: 28/2/2012 08:40.
The availability of various photo archives and photo sharing systems made similarity searching much more important because the photos are not usually conveniently tagged. So the photos (images) need to be searched by their content. Moreover, it is important not only to compare images with a query holistically but also to locate images that contain the query as their part. The query can be a picture of a person, building, or an abstract object and the task is to retrieve images of the query object but from a different perspective or images capturing a global scene containing the query object. This retrieval is called the sub-image searching. In this paper, we propose an algorithm for retrieving database images by their similarity to and containment of a query. The novelty of it lies in application of a sequence alignment algorithm, which is commonly used in text retrieval. This forms an orthogonal solution to currently used approaches based on inverted files. The proposed algorithm is evaluated on a real-life data set containing photographs where images of logos are searched. It was compared to a state-of-the-art method and the improvement of 20\% in average mean precision was obtained.
GAP103/10/0886, research and development projectName: 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 projectName: Vyhledávání v rozsáhlých multimediálních databázích
Investor: Czech Science Foundation, Similarity Searching in Very Large Multimedia Databases
MUNI/A/0922/2009, interní kód MUName: Aplikovaný výzkum Fakulty informatiky (Acronym: AVFI)
Investor: Masaryk University, Category A
VF20102014004, research and development projectName: Multimediální analýza (Acronym: Multimediální analýza)
Investor: Ministry of the Interior of the CR
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