Sav, Sorin Vasile, O'Connor, Noel E. ORCID: 0000-0002-4033-9135, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 and Murphy, Noel (2005) Associating low-level features with semantic concepts using video objects and relevance feedback. In: WIAMIS 2005 - 6th International Workshop on Image Analysis for Multimedia Interactive Services, 13-15 April 2005, Montreux, Switzerland.
Abstract
The holy grail of multimedia indexing and retrieval is developing algorithms capable of imitating human abilities in distinguishing and recognising semantic concepts within the content, so that retrieval can be based on ”real world” concepts that come naturally to users. In this paper, we discuss an approach to using segmented video objects as the midlevel connection between low-level features and semantic
concept description. In this paper, we consider a video object as a particular instance of a semantic concept and we
model the semantic concept as an average representation
of its instances. A system supporting object-based search
through a test corpus is presented that allows matching presegmented objects based on automatically extracted lowlevel features. In the system, relevance feedback is employed to drive the learning of the semantic model during
a regular search process.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Workshop |
Refereed: | Yes |
Subjects: | Computer Science > Digital video Computer Science > Information retrieval |
DCU Faculties and Centres: | Research Institutes and Centres > Centre for Digital Video Processing (CDVP) |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Enterprise Ireland, European Commission IST-2000-32795 |
ID Code: | 403 |
Deposited On: | 02 Apr 2008 by DORAS Administrator . Last Modified 08 Nov 2018 11:02 |
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