Abstract
Recently, due to rapid advancement in multimedia devices and exponential increase in Internet user activities such as video editing, preview, and streaming accumulate enormous amount of near-duplicate videos which cannot be detected or retrieved effectively by conventional video retrieval technique. In this paper, we propose a simple but effective hierarchical spatiotemporal approach for high-quality near-duplicate video retrieval. Pattern generation of encoded key frames using angular distribution density is used which are translation and rotation invariant. Queue pool contributes temporal matching and consistency for the retrieval. Experimental result analysis demonstrates the effectiveness of the proposed method.
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Mallick, A.K., Maheshkar, S. (2018). Near-Duplicate Video Retrieval Based on Spatiotemporal Pattern Tree. In: Chaudhuri, B., Kankanhalli, M., Raman, B. (eds) Proceedings of 2nd International Conference on Computer Vision & Image Processing . Advances in Intelligent Systems and Computing, vol 703. Springer, Singapore. https://doi.org/10.1007/978-981-10-7895-8_14
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DOI: https://doi.org/10.1007/978-981-10-7895-8_14
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