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

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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 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 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 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. (en)
Title	On Combining Sequence Alignment and Feature-quantization for Sub-image Searching On Combining Sequence Alignment and Feature-quantization for Sub-image Searching (en)
skos:prefLabel	On Combining Sequence Alignment and Feature-quantization for Sub-image Searching On Combining Sequence Alignment and Feature-quantization for Sub-image Searching (en)
skos:notation	RIV/00216224:14330/12:00073206!RIV15-MV0-14330___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GBP103/12/G084), P(VF20102014004)
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Zezula, Pavel Dohnal, Vlastislav Homola, Tomáš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	156192
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/12:00073206
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	image matching; sub-image retrieval; local image features; sequence alignment; performance evaluation (en)
http://linked.open.../riv/klicoveSlovo	image matching local image features sequence alignment sub-image retrieval performance evaluation
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[3482559A2416]
http://linked.open...i/riv/nazevZdroje	International Journal of Multimedia Data Engineering and Management (IJMDEM)
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Multimedia Analysis Center for Large Scale Multi-modal Data Interpretation
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	3
http://linked.open...iv/tvurceVysledku	Zezula, Pavel Homola, Tomáš Dohnal, Vlastislav
issn	1947-8534
number of pages	25 (xsd:int)
http://bibframe.org/vocab/doi	10.4018/jmdem.2012070102
http://localhost/t...ganizacniJednotka	14330

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