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To achieve high retrieval accuracy over a large scale image/video dataset, recent research efforts have demonstrated that employing extremely high-dimensional descriptors such as the Fisher Vector (FV) and the Vector of Locally Aggregated Descriptors (VLAD) can yield good performance. To enable fast search, the FV (or VLAD) is usually compressed by product quantization (PQ) or hashing. However, compressing high-dimensional descriptors via PQ or hashing may become intractable and infeasible duedoi:10.1145/2964284.2967256 dblp:conf/mm/WuWYD16 fatcat:z66xreg2r5fivdkj4nbdaq4lfi