Camera motion estimation using feature points in MPEG compressed domain

被引：0
|
作者：
Kuhn, PM [1 ]
机构：
[1] Sony Corp, Minato Ku, Tokyo 1086201, Japan
来源：
2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS | 2000年
关键词：
D O I：
10.1109/ICIP.2000.899524
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A computationally efficient camera motion estimation algorithm based on feature points derived from compressed domain is presented in this paper. The feature point selection algorithm employs the texture/edge information contained in the DCT (Discrete Cosine Transform) coefficients and is therefore directly applicable to DCT-based compressed video (like: MPEG-1/-2/-4, H.261, H.263, DV or the MJPEG format). This paper describes: (1) the extraction of the feature-points in the compressed domain, (2) the application of computational efficient motion estimation on these feature points by taking advantage of existing motion vectors in the MPEG compressed domain, as well as (3) an application for camera motion estimation.
引用
收藏
页码：596 / 599
页数：4
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