Iterative key frame selection in the rate-constraint environment |
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| Affiliation: | 1. Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, PR China;2. Institute of Materia Medica, College of Pharmacy and Chemistry, College of Pharmacy and Chemistry, Dali University, Dali 671003, PR China;1. Carnegie Mellon University, United States;2. Tencent AI Lab, China;1. School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China;2. School of Creative Media, City University of Hong Kong, Hong Kong;3. School of Computer Science and Engineering, Beihang University, China |
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| Abstract: | Video representation through key frames has been addressed frequently as an efficient way of preserving the whole temporal information of sequence with a considerably smaller amount of data. Such compact video representation is suitable for the purpose of video browsing in limited storage or transmission bandwidth environments. In this case, the controllability of the total key frame number (i.e. key frame rate) depending on the storage or bandwidth capacity is an important requirement for the key frame selection method. In this paper, we present a sequential key frame selection method when the number of key frames is given as a constraint. It first selects the pre-determined number of initial key frames and time-intervals. Then, it adjusts the positions of key frames and time-intervals by iteration, which reduces the distortion step by step. Experimental results demonstrate the improved performance of our algorithm over the existing approaches. |
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