MRT letter: Visual attention driven framework for hysteroscopy video abstraction

Video summarization using a network of radial basis functions

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Efficient visual attention based framework for extracting key frames from videos

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Computational versus Psychophysical Bottom-Up Image Saliency: A Comparative Evaluation Study

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Hysteroscopy video summarization and browsing by estimating the physician’s attention on video segments

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Learning to Detect a Salient Object

(2010) Tie Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method

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