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This research presents a multi-operator retargeting scheme, in which content-based cropping, seam carving/insertion and scaling are applied sequentially to adjust the video frames to the target resolution. Assuming that the video to be processed is encoded with H.264/AVC, compressed-domain data in the bitstream are utilized to classify video shots into different types for further processing. SLIC superpixels are formed to identify boundaries of objects and a saliency map will determine the visual significance of frame areas for appropriate cropping. A motion feature map is constructed to locate moving objects or contents so that possible distortions on them can be avoided. For static scenes, a local-significance-aware seam carving scheme based on one-dimensional gradients is applied. A SSIM-based blur detection method is also developed to extract sharp foreground objects. The experimental results show that the proposed method performs well in various kinds of video shots.
|Title of host publication||2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 27 Aug 2018|
|Event||5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, Taiwan|
Duration: 19 May 2018 → 21 May 2018
|Name||2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018|
|Conference||5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018|
|Period||19/05/18 → 21/05/18|
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1/08/17 → 31/10/18