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Optimized content-aware Image Resizing with Merging and Improved Importance Diffusion

Journal of Harbin Institute of Technology(New Series) 2015年第2期22卷 67-73页

作者： Danfeng Zhao Bo Wang College of Information and Communication Engineering Harbin Engineering University

A simple and effective content-aware image resizing method is proposed based on the row / column merging and improved importance diffusion,which preserves the important regions in an image as well as the global visual effect. By repeatedly merging two rows / columns into one row / column or inserting a new row /column between two rows / columns, this method realizes image-resolution reduction and expansion. The importance of the merged row / column is promoted and diffused to four rows / columns around the merged one,which is to avoid the unwanted image distortions resulted from excessively merging of un-important regions. In addition,the proposed method introduces the direction of gradient vector in the low-pass filter to reduce the interference caused by complex texture background and protect important content better. Furthermore,according to human mechanics principles,different weights are given to the row and column direction components of gradient vectors which can obtain better global visual effect. Experimented results show that the proposed method satisfied in not only visual effect but also objective evaluation.

关键词： content-aware image resizing merging importance diffusion gradient vector

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A Fast Algorithm for content-aware Saliency Detection and Stylized Rendering

A Fast Algorithm for Content-aware Saliency Detection and St...

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2012年计算机应用与系统建模国际会议

作者： Yongwei Miao Ruifeng Han Huahao Shou College of Computer Science and Technology Zhejiang University of Technology

Image saliency plays an important role in image processing and recognizing tasks. Owing to color difference computation between the patch centered at the current pixel and the patches centered at its neighboring pixels, a fast algorithm for multi-scale content-aware saliency detection is presented in this paper. Furthermore, the histogram information of the image is also incorporated into our saliency detection to eliminate the loss of accuracy introduced in our local dissimilarity comparison. Due to our content-aware saliency estimation, a saliency guided stylized rendering scheme is given by combing the saliency guided bilateral filtering and saliency guided contour detection techniques.

关键词： content-aware Image saliency Bilateral filtering Edge detection Stylized rendering

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Visual salience guided feature-aware shape simplification

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Journal of Zhejiang University-Science C(Computers and Electronics) 2014年第9期15卷 744-753页

作者： Yong-wei MIAO Fei-xia HU Min-yan CHEN Zhen LIU Hua-hao SHOU College of Computer Science and Technology Zhejiang University of Technology College of Science Zhejiang University of Technology

In the area of 3D digital engineering and 3D digital geometry processing, shape simplification is an important task to reduce their requirement of large memory and high time complexity. By incorporating the content-aware visual salience measure of a polygonal mesh into simplification operation, a novel feature-aware shape simplification approach is presented in this paper. Owing to the robust extraction of relief heights on 3D highly detailed meshes, our visual salience measure is defined by a center-surround operator on Gaussian-weighted relief heights in a scale-dependent manner. Guided by our visual salience map, the feature-aware shape simplification algorithm can be performed by weighting the high-dimensional feature space quadric error metric of vertex pair contractions with the weight map derived from our visual salience map. The weighted quadric error metric is calculated in a six-dimensional feature space by combining the position and normal information of mesh vertices. Experimental results demonstrate that our visual salience guided shape simplification scheme can adaptively and effectively re-sample the underlying models in a feature-aware manner, which can account for the visually salient features of the complex shapes and thus yield better visual fidelity.

关键词： Visual salience Shape simplification content-aware Weighted quadric error metric Feature-aware

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浅析如何对视频内容进行识别填充

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记者摇篮 2020年第5期 91-92页

作者：许云鹏抚顺广播电视台

本文探讨用AfterEffects的content-aware以及Mocha软件对视频内容进行擦除。

关键词： content-aware Mocha 内容识别

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