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The paper discusses a tool for video structure analysis, feature extraction, classification and semantic querying suitable for an extremely broad scale of video data set. The tool analyses the video structure to detect shot boundaries where shots in each video are identified using image duplication techniques. A single frame from each shot is passed to a deep learning model implemented using TensorFlow,...
Image Deblurring algorithms have been evolving over many decades. Although there are many algorithms available today that produce reasonably good results, their speed of execution make them less appealing for many real time applications. Thus we address this issue by improving speed of execution of an existing algorithm using parallelization and other optimizations. The algorithm we selected was published...
Manual analysis of large volumes of video surveillance footage stemming from the widespread deployment of security cameras is error prone, expensive and time consuming. Despite the commercial availability of software for automated analysis, many products lack third party extensibility, the capability to perform simultaneous event detection and have no provision for anomaly detection in highly dense...
Modern web pages are no longer static plain HTML files, and they provide rich content through scripting languages such as JavaScript and multimedia. However, communications between browser applications that use scripting languages remain challenge. As a solution to this problem, we propose BISSA, a communication model which provides a unified and time-decoupled communication platform based on tuple...
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