Abstract
The success of our Signature-Based Video Browser presented last year at Video Browser Showdown 2014 (now renamed to Video Search Showcase) was mainly based on effective filtering using position-color feature signatures, while browsing in the results comprising matched keyframes was based just on a simple sequential search approach. Since the results can consist of highly similar keyframes (e.g., news studio scenes) making the browsing more difficult, we have enhanced our tool with more advanced browsing techniques considering also homogeneous result sets obtained after filtering phase. Furthermore, we have utilized improved search models based on feature signatures to make the filtering phase more effective.
Cite
CITATION STYLE
Blažek, A., Lokoč, J., Matzner, F., & Skopal, T. (2015). Enhanced signature-based video browser. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8936, pp. 243–248). Springer Verlag. https://doi.org/10.1007/978-3-319-14442-9_22
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