Video adaptive method based on video image resolution

Abstract

The invention discloses a video-image-resolution-based vision adaptive method. The method comprises the following specific steps: (1) inputting an original video image and extracting image attention; (2) setting a clipping ratio, and finding an optimal clipping window area, remained by a video, of each frame with greatest total energy; and (3) adjusting the clipping ratio, finding an optical clipping ratio to obtain an optimal clipping window area, clipping the video image, and scaling the video image to preset target resolution. By the method, under the preset target resolution of the video image, main information of the video image can be remained; when the target resolution is much smaller than the original resolution, a main object in the original video image does not become very small; and when the aspect ratio of the target resolution is not the same as that of the original resolution, the length-to-width ratio of the object does not change, and the video image is clipped and scaled according to the optimal clipping window area with the optimal clipping and scaling ratio to provide a good vision effect for a viewer.

Description

technical field [0001] The invention relates to a video adaptive method based on video image resolution, and belongs to the technical fields of computer vision and video processing. Background technique [0002] With the advent of the information age and the rapid development of science and technology, multimedia transmission channels are becoming more and more extensive, and people gradually watch videos through mobile phones, iPhones and other portable devices. Since the screen sizes and resolutions of mobile phones and iPhones are more diverse than traditional displays, when playing videos on mobile phones and iPhones, it usually causes information loss and content distortion of video images, for example, the played video images The small objects displayed in , or the aspect ratio of the objects displayed in the played video image has changed. For this reason, the video adaptive method came into being in this environment, which aims at re-correcting the video image and r...

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Problems solved by technology

However, it is difficult for this algorithm to guarantee that the main information of the image will not be lost for complex lens shake and object movement.

Other video adaptive methods, for example, the article "Video Adaptive: Automatic Panning and Scanning" published by Liu et al. at the 14th International Conference on Multimedia of the Association for Computing Machinery held in Canada. Calculate the best cropping window for each frame of the video image, but it does not maintain the coherence of the video time domain very well

"Video Adaptive: A Visually Friendly Dynamic Programming Algorithm" published by Yuan et al. at the 2010 International Conference on Image Processing held in Hong Kong. Although this algorithm has achieved better video time domain coherence, the computational complexity of the algorithm has increased. Big

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