A fast algorithm for video parsing using MPEG compressed sequences

Author

Shen, Ke ; Delp, Edward J.

Author_Institution

Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

2

fYear

1995

fDate

23-26 Oct 1995

Firstpage

252

Abstract

Video parsing is a fundamental operation used in many digital video applications such as digital libraries and video servers. The accuracy and execution speed of the parsing algorithm is critical if large amounts of video data are to be processed, particularly in real-time. We present a new algorithm to reconstruct DC coefficient images of a DCT and motion compensation compressed video sequence, e.g. MPEG. The histograms of the DC coefficient images can be used to detect scene changes

Keywords

data compression; discrete cosine transforms; image reconstruction; image sequences; transform coding; video coding; DC coefficient image; MPEG compressed sequences; digital libraries; digital video applications; execution speed; fast algorithm; histograms; image reconstruction; motion compensation; parsing algorithm speed; scene changes detection; video data processing; video parsing; video servers; Discrete cosine transforms; Histograms; Image coding; Image reconstruction; Layout; Motion compensation; Software libraries; Transform coding; Video compression; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.537462

Filename

537462