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Multiple algorithms classifying frames in video sequences consider them only as separate images. After pointing out the properties of real-life recordings and classifications of their frames, we propose a new shifting time window approach for improving binary classifications. It proceeds in two steps: First, well-known classification algorithms are used separately for each frame to acquire preliminary classifications. Secondly, the results of the previous step are analyzed in relatively short sequences of consecutive images (the shifting time window). Taking into account the continuous nature of analyzed real-life videos, the preliminary binary classification sequences can be corrected. In consequence, the classification quality is improved. Furthermore, we offer a systematic approach where all parameters of the proposed algorithm (such as the window length or vote weight distribution in the window) are considered and their optimal values are determined. Experiments on representative examples confirm the advantages of the proposed approach. Keywords Image classification in videos • Binary classifications • Temporal relations • Continuous properties • OFA and FSA methods

The article presents a novel approach to medical video data analysis and recognition of bleedings.Emphasis has been put on adapting pre-existing algorithms dedicated to the detection of bleedings for realtimeusage in a medical doctor’s office during an endoscopic examination. A real-time system for analyzingendoscopic videos has been designed according to the most significant requirements of medical doctors.The main goal of the performed research was to establish the possibility of ensuring the necessaryperformance of a given class of algorithms to introduce the solution into real life diagnostics.The structures of two exemplary algorithms for bleeding detection have been analyzed to distinguish anddiscuss parallelization options. After applying them to the algorithms, the usage of a supercomputermultimedia processing platform allowed to acquire the throughput and latency values required for realtimeusage. Different configurations of the algorithms have been tested and their measured parametershave been provided and discussed

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