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Towards low bit rate mobile visual search, recent works have proposed to aggregate the local features and compress the aggregated descriptor (such as Fisher vector, the vector of locally aggregated descriptors) for low latency query delivery as well as moderate search complexity. Even though Hamming distance can be computed very fast, the computational cost of exhaustive linear search over the binary...
Fisher vectors (FV) aggregated from local invariant features (e.g., SIFT) is one of the state-of-the-art descriptors for visual search, due to high discriminability but small visual vocabulary. Nevertheless, a high-dimensional FV needs to be compressed into a compact descriptor for light storage and high matching eficiency. In this paper, we formulate the FV compression as a resource-constrained optimization...
Coming with the proliferation of mobile devices, mobile visual search emerges. One fundamental issue here is the query transmission latency, especially in a bandwidth constraint wireless link. Towards low bit rate retrieval, recent works have proposed to extract compact visual descriptors directly on the mobile end, where the vocabulary tree based bag-of-words representation has shown superior performance...
In research work, we found that grammatical information in the Modern Chinese Grammar Information Dictionary is very effective to revise chunk border. So the Modern Chinese Grammar Information Dictionary used to extract the chunk Border Revised Rules (BRR). In this paper, a new method of chunking is proposed--combined with BRR and TBL, SVM used for chunking. We reduced the number of SVM feature vector,...
Ant colony optimization (ACO) is an optimization technique that was inspired by the foraging behavior of real ant colonies. As a new exploring attempt to the structural health monitoring (SHM), the ACO algorithm is applied to the continuous optimization problems on the structural damage detection in the SHM field in this paper. First of all, the theoretical background on the ACO is introduced for...
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