Searching for Sub-images using Sequence Alignment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F11%3A00049949" target="_blank" >RIV/00216224:14330/11:00049949 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ISM.2011.19" target="_blank" >http://dx.doi.org/10.1109/ISM.2011.19</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISM.2011.19" target="_blank" >10.1109/ISM.2011.19</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Searching for Sub-images using Sequence Alignment

Popis výsledku v původním jazyce

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 aquery. 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.

Název v anglickém jazyce

Searching for Sub-images using Sequence Alignment

Popis výsledku anglicky

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 aquery. 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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE International Symposium on Multimedia (ISM 2011)

ISBN

978-1-4577-2015-4

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos, California

Místo konání akce

Dana Point, California, USA

Datum konání akce

5. 12. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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