Title

Determining Structure In Continuously Recorded Videos

Keywords

Fuzzy Representation; Scene Detection; Spectral Clustering

Abstract

In this paper, we present a scene detection framework on continuously recorded videos. Conventional temporal scene segmentation methods work for the videos composed of discrete shots, where shot boundaries are clearly defined. The proposed method detects scene segments by the spectral clustering technique and fuzzy analysis. The detected scenes are represented by the corresponding representative feature values of the feature clusters, rather than abrupt temporal boundaries. The feature clusters are generated using the spectral clustering technique. The video units have the fuzzy memberships to the feature clusters, which are generated using the Hyperbolic tangent fuzzy function. The final output is collected from the candidate scenes from all clusters. The proposed method has been tested on several video sequences, and very promising results have been obtained. Copyright © 2005 ACM.

Publication Date

12-1-2005

Publication Title

Proceedings of the 13th ACM International Conference on Multimedia, MM 2005

Number of Pages

495-498

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/1101149.1101260

Socpus ID

84883111518 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84883111518

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