Paper Info
Title
FAST FEATURE-BASED VIDEO SEGMENTATION AND ANNOTATION
Abstract
We present a method of segmenting video to detect cuts with accuracy equal to or better than both histogram and other feature based methods. As well, the method is faster than other feature based methods. By utilizing feature tracking on corners, rather than lines, we are able to reliably detect features such as cuts, fades and salient frames. Experimental evidence shows that the method is able to withstand high motion situations better than existing methods. Initial implementations using full sized video frames are able to achieve processing rates of 10-30 frames per second depending on the level of motion and number of features being tracked; this includes the time to generate the MPEG decompressed frames.
Year
DOI
Venue
2003
10.1109/ISSPA.2003.1224784
SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 1, PROCEEDINGS
Keywords
Field
DocType
motion estimation,tracking,computer vision,histograms,pixel,layout,feature extraction,video compression,frames per second,image segmentation,data compression,encoding
Reference frame,Computer vision,Block-matching algorithm,Pattern recognition,Feature (computer vision),Computer science,Motion compensation,Feature extraction,Video tracking,Artificial intelligence,Frame rate,Motion estimation
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
1
Name
Order
Citations
PageRank
Anthony Whitehead114320.84