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One of the challenges in Multimedia Event Retrieval is the integration of data from multiple modalities. A modality is defined as a single channel of sensory input, such as visual or audio. We also refer to this as data source. Previous research has shown that the integration of different data...
In this work, we revisit multi-resolution analysis (MRA) methods for object recognition. We find an optimal sparse representation of an image using a second-generation Fast Discrete Curvelet Transform (FDCT) and present a novel curvelet approach based on thin plate splines (TPS). Measurement of...
Facial expressions are considered important communicative tools. In this paper, we present a new system able to recognize facial expressions. This system utilizes one-dimensional Hidden Markov Models (1D-HMMs) with small number of states involving fast computational time during the learning and...
The accuracy of content-based image retrieval (CBIR) systems is significantly affected by the discriminatory power of image features and distance measures. This paper performs an investigation towards finding the best local and global features and distance measures for content-based image...
In recent years, online shopping has grown exponentially and huge number of images are available online. Hence, it is necessary to recommend various product images to aid the user in effortless and efficient access to the desired products. In this paper, we present image recommendation framework...
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