title: The semantic pathfinder: using an authoring metaphor for generic multimedia indexing.
abstract: This paper presents the semantic pathfinder architecture for generic indexing of multimedia archives. The semantic pathfinder extracts semantic concepts from video by exploring different paths through three consecutive analysis steps, which we derive from the observation that produced video is the result of an authoring-driven process. We exploit this authoring metaphor for machine-driven understanding. The pathfinder starts with the content analysis step. In this analysis step, we follow a data-driven approach of indexing semantics. The style analysis step is the second analysis step. Here, we tackle the indexing problem by viewing a video from the perspective of production. Finally, in the context analysis step, we view semantics in context. The virtue of the semantic pathfinder is its ability to learn the best path of analysis steps on a per-concept basis. To show the generality of this novel indexing approach, we develop detectors for a lexicon of 32 concepts and we evaluate the semantic pathfinder against the 2004 NIST TRECVID video retrieval benchmark, using a news archive of 64 hours. Top ranking performance in the semantic concept detection task indicates the merit of the semantic pathfinder for generic indexing of multimedia archives.
authors.affiliation: Intelligent Systems Lab Amsterdam, Informatics Institute, University of Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands. cgmsnoek@science.uva.nl
authors.forename: Cees G M
authors.initials: CG
authors.lastname: Snoek
authors.forename: Marcel
authors.initials: M
authors.lastname: Worring
authors.forename: Jan-Mark
authors.initials: JM
authors.lastname: Geusebroek
authors.forename: Dennis C
authors.initials: DC
authors.lastname: Koelma
authors.forename: Frank J
authors.initials: FJ
authors.lastname: Seinstra
authors.forename: Arnold W M
authors.initials: AW
authors.lastname: Smeulders
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D001185:Artificial Intelligence; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D019212:Multimedia / Q000145:classification*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D012660:Semantics; D014741:Video Recording / Q000379:methods*; D018875:Vocabulary, Controlled