Abstract | ||
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The contribution of this paper consists of a framework for video comparison that allows for the analysis of different movie versions. Furthermore, a second contribution is an evaluation of state-of-the-art, local feature-based approaches for content-based video retrieval in a real world scenario. Eventually, the experimental results show the outstanding performance of a simple, edge-based descriptor within the presented framework. |
Year | DOI | Venue |
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2009 | 10.1109/ISM.2009.32 | ISM |
Keywords | Field | DocType |
missing piece,real world scenario,outstanding performance,content-based video retrieval,content-based video comparison,different movie version,local feature-based approach,edge-based descriptor,video comparison,sift,data mining,materials,histograms,evaluation,transform coding,feature extraction,motion pictures,framework | Histogram,Scale-invariant feature transform,Computer vision,Video retrieval,Information retrieval,Computer science,Transform coding,Feature extraction,Video tracking,Artificial intelligence,Content based retrieval | Conference |
Citations | PageRank | References |
2 | 0.36 | 15 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maia Zaharieva | 1 | 121 | 14.62 |
Matthias Zeppelzauer | 2 | 186 | 21.35 |
Dalibor Mitrovic | 3 | 76 | 6.23 |
Christian Breiteneder | 4 | 410 | 288.17 |