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In the task of product image search, the database consists of clean versions of product images, while the query photos are often captured from mobile phone cameras under uncontrolled conditions. Conventional methods usually adopt the SIFT based bag-of-words (BoW) representation of the whole query image, which suffers from the interference of background noise. To address the problem, we extract multiple...
Existing techniques usually adopt compact descriptors such as Fisher vector for mobile visual search, since compact descriptors are memory-efficient and suitable for fast transmission. In common Fisher vector methods, in order to make the size of image representations small enough for efficient transmission, only a small number of visual words are used. However, this choice usually sacrifices the...
In this paper, we call the pattern classification problem that consists in assigning a category label to a long audio signal based on its semantic content as Generic Audio Document Categorization (GADC). A novel generative model is proposed to describe the generic audio document categories and solve the GADC problem. This model is a four-level hierarchical model in which two latent variables “audio...
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