Abstract | ||
---|---|---|
The fast evolution of the digital video technology has opened new areas of research. The most important aspect will be to develop algorithms to perform video cataloguing, indexing and retrieval. The basic step is to find a way for video abstraction, as this will help us more for browsing a large set of video data with sufficient content representation. In this paper we present an overview of the current key-frame extraction algorithms. We propose the Entropy-Difference, an algorithm that performs spatial frame segmentation. We present evaluation of the algorithm on several video clips. Quantitative results show that the algorithm is successful in helping annotators automatically identify video key-frames |
Year | DOI | Venue |
---|---|---|
2004 | 10.1145/1026711.1026719 | Multimedia Information Retrieval |
Keywords | Field | DocType |
entropy difference,video clip,basic step,video abstraction,present evaluation,video data,current key-frame extraction algorithm,video cataloguing,fast evolution,video key-frames,digital video technology,key-frame extraction algorithm | Digital video,Computer vision,Abstraction,Information retrieval,Extraction algorithm,Segmentation,Computer science,Search engine indexing,Video tracking,Artificial intelligence,Key frame | Conference |
ISBN | Citations | PageRank |
1-58113-940-3 | 21 | 1.02 |
References | Authors | |
16 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Markos Mentzelopoulos | 1 | 39 | 10.45 |
Alexandra Psarrou | 2 | 199 | 27.14 |