Fast and Robust Search Method for Short Video Clips from Large Video Collection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Practical elimination of near-duplicates from web video search
Proceedings of the 15th international conference on Multimedia
Information Processing and Management: an International Journal
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In Near-Duplicate Video Retrieval (NDVR), recent works have focused on bettering index structures and matching schemes not only to improve retrieval accuracy but also to enforce scalability in an effort to keep up with the ever-growing size of video collections. In this paper, we propose a framework for the retrieval of Near-Duplicate Videos (NDVs) based on a pre-processing step of clustering inspired by Multiple Sequence Alignment (MSA) of DNA sequences. In our technique, we represent videos as alphabetical genomes and MSA is employed to automatically cluster a video collection. NDVR is then conducted on these formed clusters instead of the original video collection. Experimentally, we show that our clustering-based approach, while being significantly faster than state-of-the-art techniques that are not based on a pre-processing clustering step, i.e. the n-gram and Dynamic Time Warping (DTW) techniques, yields equivalent results in a precision/recall evaluation framework.