Efficient video summarization based on a fuzzy video content representation

Author

Doulamis, Anastasios D. ; Doulamis, Nikolaos D. ; Kollias, Stefanos D.

Author_Institution

Nat. Tech. Univ. of Athens, Greece

Volume

4

fYear

2000

fDate

2000

Firstpage

301

Abstract

A fuzzy representation of visual content is proposed, which is useful for video summarization. In particular, a multidimensional fuzzy histogram is constructed for each video frame based on a collection of appropriate features, extracted using video sequence analysis techniques. Then, key frames are selected optimally by minimizing a cross correlation criterion. Experimental results and comparison with other known methods are presented to indicate the good performance of the proposed scheme on real life video recordings

Keywords

content-based retrieval; fuzzy systems; image segmentation; image sequences; multimedia databases; video databases; cross correlation criterion; fuzzy video content representation; multidimensional fuzzy histogram; video frame; video recordings; video sequence analysis techniques; video summarization; Content based retrieval; Digital images; Feature extraction; Histograms; Image sequence analysis; Indexing; Information retrieval; Multidimensional systems; Video recording; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on

Conference_Location

Geneva

Print_ISBN

0-7803-5482-6

Type

conf

DOI

10.1109/ISCAS.2000.858748

Filename

858748