@inproceedings{388d97b24fa34cb28eb24ea2d22bdd5a,
title = "Video retrieval based on words-of-interest selection",
abstract = "Query-by-example video retrieval is receiving an increasing attention in recent years. One of the state-of-art approaches is the Bag-of-visual Words (BoW) based technique, where images are described by a set of local features mapped to a discrete set of visual words. Such techniques, however, ignores spatial relations between visual words. In this paper, we present a content based video retrieval technique based on selected Words-of-Interest (WoI) that utilizes visual words spatial proximity constraint identified from the query. Experiments carried out on a public video database demonstrate promising results of our approach that outperform the classical BoW approach.",
keywords = "Bag-of-Words, Content based video retrieval, Words-of-Interest",
author = "Lei Wang and Dawei Song and Eyad Elyan",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2011.; 33rd European Conference on Information Retrieval, ECIR 2011 ; Conference date: 18-04-2011 Through 21-04-2011",
year = "2011",
doi = "10.1007/978-3-642-20161-5_71",
language = "English",
isbn = "9783642201608",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "687--690",
editor = "Paul Clough and Colum Foley and Cathal Gurrin and Hyowon Lee and Jones, {Gareth J.F.} and Wessel Kraaij and Vanessa Murdoch",
booktitle = "Advances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings",
address = "Germany",
}