Paper Info
Title
Navidgator - Similarity Based Browsing for Image and Video Databases
Abstract
A main problem with the handling of multimedia databases is the navigation through and the search within the content of a database. The problem arises from the difference between the possible textual description (annotation) of the database content and its visual appearance. Overcoming the so called - semantic gap - has been in the focus of research for some time. This paper presents a new system for similarity-based browsing of multimedia databases. The system aims at decreasing the semantic gap by using a tree structure, built up on balanced hierarchical clustering. Using this approach, operators are provided with an intuitive and easy-to-use browsing tool. An important objective of this paper is not only on the description of the database organization and retrieval structure, but also how the illustrated techniques might be integrated into a single system.Our main contribution is the direct use of a balanced tree structure for navigating through the database of keyframes, paired with an easy-to-use interface, offering a coarse to fine similarity-based view of the grouped database content.
Year
DOI
Venue
2008
10.1007/978-3-540-85845-4_3
KI
Keywords
DocType
Volume
balanced hierarchical clustering,tree structure,database organization,multimedia databases,retrieval structure,balanced tree structure,video databases,new system,semantic gap,single system,database content,hierarchical clustering
Conference
5243
ISSN
Citations 
PageRank 
0302-9743
8
0.48
References 
Authors
12
4
Name
Order
Citations
PageRank
Damian Borth176449.45
Christian Schulze2243.06
Adrian Ulges332826.61
Thomas M. Breuel42362219.10