On Combining Sequence Alignment and Feature-quantization for Sub-image Searching

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00073206" target="_blank" >RIV/00216224:14330/12:00073206 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.4018/jmdem.2012070102" target="_blank" >http://dx.doi.org/10.4018/jmdem.2012070102</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4018/jmdem.2012070102" target="_blank" >10.4018/jmdem.2012070102</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On Combining Sequence Alignment and Feature-quantization for Sub-image Searching

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, called SASISA, for retrieving database images by their similarity to andcontainment 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.

Název v anglickém jazyce

On Combining Sequence Alignment and Feature-quantization for Sub-image Searching

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, called SASISA, for retrieving database images by their similarity to andcontainment 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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

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)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

International Journal of Multimedia Data Engineering and Management (IJMDEM)

ISSN

1947-8534

e-ISSN

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Svazek periodika

3

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

25

Strana od-do

20-44

Kód UT WoS článku

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EID výsledku v databázi Scopus

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