Paper
15 March 2019 Inverting video slide shows
Dimitrios Bekos, Vasileios Chasanis, Aristidis Likas
Author Affiliations +
Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110410N (2019) https://doi.org/10.1117/12.2522704
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany
Abstract
Video slide shows constitute a very frequent video type. Typically, in order to produce such a video, a series of still images are used and processed. We present a method to solve the video slide show inversion problem where we are given a video slide show and we wish to extract the sequence of still images that have been used to produce this video. Our approach relies on a fast and efficient key-frame extraction method that partitions the video into content homogeneous segments and extracts a representative key-frame for each video segment. An important characteristic of this method is that the number of key-frames is determined automatically. Next, the set of key-frames is further processed to solve various problems such as mixing of images, fade-in/fade-out and zooming effects that produce keyframes not belonging to the original image sequence, thus they must be detected and discarded. We provide illustrative examples from the application of the method on several video slide shows with different characteristics.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dimitrios Bekos, Vasileios Chasanis, and Aristidis Likas "Inverting video slide shows", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410N (15 March 2019); https://doi.org/10.1117/12.2522704
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KEYWORDS
Video

Image processing

Semantic video

Visualization

Cameras

RGB color model

Image processing algorithms and systems

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