Issue No. 02 - April-June (2013 vol. 20)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2013.23
Yang Cai , Carnegie Mellon University
Linjun Yang , Microsoft
This article studies the challenges and opportunities of million-scale near-duplicate video retrieval using three well-known and potentially scalable methods. It concludes that although these approaches can perform efficiently they suffer from a significant performance drop because the efficient features are neither discriminative nor robust enough for versatile cases.
Content-based retrieval, Video recording, Scalability, System analysis and design, large-scale video retrieval, multimedia, multimedia applications, Web technology, near duplicate, video retrieval, content-based video retrieval
Y. Cai and L. Yang, "Large-Scale Near-Duplicate Web Video Retrieval: Challenges and Approaches," in IEEE MultiMedia, vol. 20, no. , pp. 42-51, 2013.