Titlebook: Computational Vision and Bio-Inspired Computing; ICCVBIC 2019 S. Smys,João Manuel R. S. Tavares,Abdullah M. Iliy Conference proceedings 202

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https://doi.org/10.1007/978-3-319-61581-3 is once again challenging. Thus, there is an incredible interest for intelligent surveillance system for security purposes. The proposed work aims at a anomalous activity detection in video using the contextual multi-scale region convolutional 3D network (CMSRC3D) for. The work is deal with differe

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https://doi.org/10.1007/978-3-319-61581-3to realize mammogram images features with different dimensions. To categorize an image is to be illustrated or signified by particular features. In this paper, proposed a mammogram image pre-processing extraction process for deriving the image classification. The proposed method present two phases n

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On Modal Probability and Beliefter’s personality. Different types of strokes and patterns in writer’s signature are considered for predicting their personality trait. Social skills, achievements, work habits, temperament, etc. can be predicted by using the writer’s signature. It helps us in understanding the person in a better wa

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Tsai-Ching Lu,Marek J. Druzdzel the major tools to find the structural and behavioral nature of Biomolecules. Furthermore, MSA can also be utilized for gene regulation networks, protein structure prediction, homology searches, genomic annotation or functional genomics. In this paper, we purpose a new nature and bio-inspired algor

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Leila Amgoud,Victor David,Dragan Doder approach is proposed in this paper. The spectral and spatial features like colour, texture and edge of RS images are extracted by using nonlinear spectral unmixing which is further scaled by using bilinear interpolation. The same RS image in parallel path is first scaled using bilinear interpolatio

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Nico Potyka,Sylwia Polberg,Anthony Hunterormation rapidly and effectively for a huge amount of sources remains as a challenging task. Cross-modal retrieval tries to break through the modality of different media objects that can be regarded as a unified multimedia retrieval approach. For many real-world applications, cross-modal retrieval i

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