Time-Embedding 2D Locality Preserving Projection for Video Summarization

Author

Fu, Maosheng ; Zhang, Daming ; Kong, Min ; Luo, Bin

Author_Institution

Key Lab. of Intell. Comput. & Signal Process. of Minist. of Educ., Anhui Univ., Hefei

fYear

2008

fDate

22-24 Sept. 2008

Firstpage

131

Lastpage

135

Abstract

In this paper we present an effective approach to creating quality video summarization. Considering the video frame sequence and visual similarity, we defined a novel distance formula, which is equivalent to Euclidean distance in respect of norm. A time embedding two dimensional locality preserving projection (TE-2DLPP) is proposed. Experiments show that the new algorithm has better time performance. From the resulting frame cluster, a summary storyboard of the video is created in TE-2DLPP feature subspace, and the obtained experimental results are encouraging.

Keywords

image representation; image sequences; video signal processing; 2D locality preserving projection; Euclidean distance; distance formula; time embedding 2D locality preserving projection; video frame sequence; video summarization; visual similarity; Bandwidth; Clustering algorithms; Content based retrieval; Image retrieval; Image segmentation; Layout; Linear discriminant analysis; Principal component analysis; Video sequences; Videoconference; data clustering; dimensionality reduction; time-embedding 2D locality preserving projection; video summarization;

fLanguage

English

Publisher

ieee

Conference_Titel

Cyberworlds, 2008 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-0-7695-3381-0

Type

conf

DOI

10.1109/CW.2008.16

Filename

4741290