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HRADIŠ, M. ŘEZNÍČEK, I. BEHÚŇ, K.
Original Title
Brno University of Technology at MediaEval 2011 Genre Tagging Task
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
This paper briefly describes our approach to the video genre tagging task which was a part of MediaEval 2011. We focused mainly on visual and audio information, and we exploited metadata and automatic speech transcripts only in a very basic way. Our approach relied on classification and on classifier fusion to combine different sources of information. We did not use any additional training data except the very small exemplary set provided by MediaEval (only 246 videos). The best performance was achieved by metadata alone. Combination with the other sources of information did not improve results in the submitted runs. This was achieved later by choosing more suitable weights in fusion. Excluding the metadata, audio and video gave better results than speech transcripts. Using classifiers for 345 semantic classes from TRECVID 2011 semantic indexing (SIN) task to project the data worked better than classifying directly from video and audio features.
Keywords
genre recognition, bag of words, SIFT, local features, SVM, classification, classifier fusion
Authors
HRADIŠ, M.; ŘEZNÍČEK, I.; BEHÚŇ, K.
RIV year
2011
Released
1. 9. 2011
Publisher
CEUR-WS.org
Location
Pisa, Italy
ISBN
1613-0073
Periodical
CEUR Workshop Proceedings
Number
9
State
Federal Republic of Germany
Pages from
1
Pages to
2
Pages count
URL
http://ceur-ws.org/Vol-807/Hradis_BUT_Genre_me11wn.pdf
BibTex
@inproceedings{BUT91115, author="Michal {Hradiš} and Ivo {Řezníček} and Kamil {Behúň}", title="Brno University of Technology at MediaEval 2011 Genre Tagging Task", booktitle="Working Notes Proceedings of the MediaEval 2011 Workshop", year="2011", journal="CEUR Workshop Proceedings", number="9", pages="1--2", publisher="CEUR-WS.org", address="Pisa, Italy", issn="1613-0073", url="http://ceur-ws.org/Vol-807/Hradis_BUT_Genre_me11wn.pdf" }