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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10129703%21RIV13-GA0-11320___
rdf:type
n20:Vysledek skos:Concept
dcterms:description
In this paper, we present the vision of the usage of an objectbased video data storage format for similarity search. The efficient (fast) and effective (accurate) search in video streams is an ongoing and still unsolved problem. Using an object-based format of multimedia data, all the information that is needed to answer queries is already available in a machine-accessible format. This way, the process of creating (video) descriptors as well as the similarity search becomes easier, because the data is already organized in a manner that allows fast access to specific information. To demonstrate the concept of similarity search process using the object-based 3D video format, we present experiments conducted on generated clouds of points (an abstraction of 3D video data). In this paper, we present the vision of the usage of an objectbased video data storage format for similarity search. The efficient (fast) and effective (accurate) search in video streams is an ongoing and still unsolved problem. Using an object-based format of multimedia data, all the information that is needed to answer queries is already available in a machine-accessible format. This way, the process of creating (video) descriptors as well as the similarity search becomes easier, because the data is already organized in a manner that allows fast access to specific information. To demonstrate the concept of similarity search process using the object-based 3D video format, we present experiments conducted on generated clouds of points (an abstraction of 3D video data).
dcterms:title
Similarity Search in 3D Object-Based Video Data Similarity Search in 3D Object-Based Video Data
skos:prefLabel
Similarity Search in 3D Object-Based Video Data Similarity Search in 3D Object-Based Video Data
skos:notation
RIV/00216208:11320/12:10129703!RIV13-GA0-11320___
n20:predkladatel
n21:orjk%3A11320
n4:aktivita
n13:P
n4:aktivity
P(GAP202/11/0968), P(GPP202/12/P297)
n4:dodaniDat
n22:2013
n4:domaciTvurceVysledku
n11:3885364 n11:5851726
n4:druhVysledku
n16:D
n4:duvernostUdaju
n5:S
n4:entitaPredkladatele
n23:predkladatel
n4:idSjednocenehoVysledku
167883
n4:idVysledku
RIV/00216208:11320/12:10129703
n4:jazykVysledku
n15:eng
n4:klicovaSlova
object-based video coding; video retrieval; similarity search
n4:klicoveSlovo
n10:object-based%20video%20coding n10:video%20retrieval n10:similarity%20search
n4:kontrolniKodProRIV
[CF22E79D80CC]
n4:mistoKonaniAkce
Maui, Hawaii, USA
n4:mistoVydani
New York, NY, USA
n4:nazevZdroje
CIKM '12 Proceedings of the 21st ACM international conference on Information and knowledge management
n4:obor
n19:IN
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
4
n4:projekt
n8:GPP202%2F12%2FP297 n8:GAP202%2F11%2F0968
n4:rokUplatneniVysledku
n22:2012
n4:tvurceVysledku
Lokoč, Jakub Rothermel, Albrecht Skopal, Tomáš Wünschmann, Jürgen
n4:typAkce
n14:WRD
n4:zahajeniAkce
2012-10-29+01:00
s:numberOfPages
4
n3:doi
10.1145/2396761.2398716
n9:hasPublisher
ACM
n12:isbn
978-1-4503-1156-4
n18:organizacniJednotka
11320