Paper Info
Title
Keyframe-Guided Automatic Non-linear Video Editing
Abstract
We describe a system for generating coherent movies from a collection of unedited videos. The generation process is guided by one or more input keyframes, which determine the content of the generated video. The basic mechanism involves similarity analysis using the histogram intersection function. The function is applied to spatial pyramid histograms computed on the video frames in the collection using Dense SIFT features. A two-directional greedy path finding algorithm is used to select and arrange frames from the collection while maintaining visual similarity, coherence, and continuity. Our system demonstrates promising results on large video collections and is a first step towards increased automation in non-linear video editing.
Year
DOI
Venue
2010
10.1109/ICPR.2010.791
ICPR
Keywords
Field
DocType
large video collection,similarity analysis,visual similarity,dense sift feature,coherent movie,keyframe-guided automatic non-linear video,basic mechanism,histogram intersection function,unedited video,video frame,non-linear video editing,feature extraction,computer vision,radiation detectors,path finding,kernel,visualization,image retrieval,video processing,histograms
Histogram,Computer vision,Scale-invariant feature transform,Video processing,Pattern recognition,Computer science,Image retrieval,Non-linear editing system,Feature extraction,Video tracking,Video editing,Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Vaishnavi Rajgopalan100.34
Ananth Ranganathan237524.78
Ramgopal Rajagopalan371.58
Sudhir P. Mudur420145.52