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Active shape models (ASM) is one of powerful tools for feature extraction. A new method to construct local appearance model is developed using the information of neighbor landmark points in this paper. This improved method is evaluated on ORL face database, and the experimental results show that the improved ASM improves the accuracy of features extraction.
A new blind steganalyzer is constructed to markedly improve performance with higher universalness and detection accuracy. It merges Robert gradient energy in pixel domain, variance of Laplacian parameter in DCT(discrete cosine transform) domain and higher-order statistics extracted from wavelet coefficients as the feature vector of the proposed steganalysis algorithm, and BP(back propagation) neural...
Fourier descriptor is an important method used in shape analysis and recognition. A novel method for designing the classifier of multi-dimensional data was proposed, which used radar chart of multi-statistics to show multidimensional data and applied Fourier descriptors to recognize the radar chart. Different multi-dimensional data formed different radar chart and distinguished different category...
Most of existing learning-based methods for query-by-example take the query examples as ldquopositiverdquo and build a model for each query. These methods, referred to as query-dependent, only achieved limited success as they can hardly be applied to real-world applications, in which an arbitrary query is usually given. To address this problem, we propose to learn a query-independent model by exploiting...
Conventional approaches to video search reranking only care whether search results are relevant or irrelevant to the given query, while the ranking order of these results indicating the level of relevance or typicality are usually neglected. This paper presents a novel learning-based approach to video search reranking by investigating the ranking order information. The proposed approach, called pseudo...
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