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The problem of color image restoration is investigated in this paper. The framelet-based color regularization term is proposed to preserve the edges of restored images and attenuate the false color for human visual system. A fast iterative shrinkage algorithm is applied to tackle the proposed non-smooth restored model by thresholding the framelet coefficients. Numerical examples demonstrate that our...
In this paper, we propose a novel multi-label image annotation for image retrieval based on annotated keywords. For multi-label image annotation, a bi-coded genetic algorithm is employed to select optimal feature subsets and corresponding optimal weights for every one vs. one SVM classifiers. After an unlabelled image is segmented into several regions with image segmentation algorithm, pre-trained...
This paper presents a robust real-time rear-view camera based object detection algorithm for backup aid and parking assist applications. The system is capable of handling the challenges of stationary as well as moving objects in rear view of the host vehicle, utilizing a single car-mounted rear-view fish-eye camera. A motion-based and edge-based object detection algorithm was developed in order to...
Large-scale image training set is the precondition of large numbers of various images' semantic annotation. However, due to the absence of image content, state-of-the-art text-based Web image searching engine's results can't serve as image set directly. In this paper, we propose a novel framework for large-scale image set construction, which is based on re-ranking current text-based Web image searching...
The advance of image capture device and the popularity of the Internet have made the World Wide Web the biggest and most diverse repository of images. How to retrieve images fast and accurately from the WWW has become an urgent problem to be solved. Although many commercial Web image search engine has come forth, the precision is not satisfying for the reason that the text in the pages which they...
Image annotation can be formulated as a multi-class classification problem. A multi-class classification problem can be solved by ensemble classifiers. We investigate the ensemble of multiple two-class classifiers based on MPEG-7 standard. To get ride of redundancy information, a binary-coded chromosome genetic algorithm is used to select individual optimal classification feature pattern for each...
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