Title :
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
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;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537462
