Sub-image Searching Through Intersection of Local Descriptors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00044856" target="_blank" >RIV/00216224:14330/10:00044856 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Sub-image Searching Through Intersection of Local Descriptors

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Sub-image Searching Through Intersection of Local Descriptors

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA201%2F09%2F0683" target="_blank" >GA201/09/0683: Vyhledávání v rozsáhlých multimediálních databázích</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

3rd International Conference on Similarity Search and Applications (SISAP 2010)

ISBN

978-1-4503-0420-7

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

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Název nakladatele

ACM Press

Místo vydání

New York

Místo konání akce

Istanbul

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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