Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/6874
Title: MuLVAT: a video annotation tool based on XML-dictionaries and shot clustering
Authors: Tsapatsoulis, Nicolas 
Kounoudes, Anastasis 
Theodosiou, Zenonas 
Keywords: Computer science
Back propagation (Artificial intelligence)
Computer graphics
Multimedia systems
Neural networks
Semantics
Video recording
XML (Document markup language)
Issue Date: 2009
Publisher: Springer
Source: Artificial neural networks – ICANN 2009: 19th international conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II, Pages 913-922
Abstract: Recent advances in digital video technology have resulted in an explosion of digital video data which are available through the Web or in private repositories. Efficient searching in these repositories created the need of semantic labeling of video data at various levels of granularity, i.e., movie, scene, shot, keyframe, video object, etc. Through multilevel labeling video content is appropriately indexed, allowing access from various modalities and for a variety of applications. However, despite the huge efforts for automatic video annotation human intervention is the only way for reliable semantic video annotation. Manual video annotation is an extremely laborious process and efficient tools developed for this purpose can make, in many cases, the true difference. In this paper we present a video annotation tool, which uses structured knowledge, in the form of XML dictionaries, combined with a hierarchical classification scheme to attach semantic labels to video segments at various level of granularity. Video segmentation is supported through the use of an efficient shot detection algorithm; while shots are combined into scenes through clustering with the aid of a Genetic Algorithm scheme. Finally, XML dictionary creation and editing tools are available during annotation allowing the user to always use the semantic label she/he wishes instead of the automatically created ones
URI: http://ktisis.cut.ac.cy/handle/10488/6874
ISBN: 978-3-642-04276-8 (print)
ISSN: 978-3-642-04277-5 (online)
DOI: 10.1007/978-3-642-04277-5_92
Rights: © 2009 Springer Berlin Heidelberg
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

Show full item record

SCOPUSTM   
Citations 50

1
checked on Jan 27, 2017

Page view(s) 20

35
Last Week
0
Last month
5
checked on Aug 21, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.