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METHOD AND APPARATUS FOR IMAGE SEARCH USING SPARSIFYING ANALYSIS AND SYNTHESIS OPERATORS
METHOD AND APPARATUS FOR IMAGE SEARCH USING SPARSIFYING ANALYSIS AND SYNTHESIS OPERATORS
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机译：利用稀疏分析和综合算子进行图像搜索的方法和装置
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摘要
In a particular implementation, images are represented by feature vectors, whose sparse representations are computed using an analysis operator. The sparse representations of the images and a synthesis operator are used to efficiently compute similarity metrics between the images. When the sparse representation of the query image is readily available, a symmetric similarity metric is calculated using the sparse representation of the query image and database images. Otherwise, when the sparse representation of the query image is not available, an asymmetric similarity metric can be calculated using the feature vector of the query image and sparse representations of the database images. Given pair-wise constraints or triplet constraints on similarity, the synthesis operator can be computed using an optimization problem based on a penalty function. Also, the synthesis operator can be learned jointly with the analysis operator.
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