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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...
Content-based image retrieval (CBIR) is an effective approach for obtaining desired image, however, due to the semantic gap between low-level visual features and high-level concept of image, CBIR system of state-of-the-art always can't achieve satisfying retrieval performance. In this paper, we propose a novel CBIR system framework. In order to bridge the semantic gap, the mechanism of relevance feedback...
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...
Video annotation is very important for video management, such as video retrieval. Despite continuous efforts in inventing new annotation algorithms, the annotation performance is usually unsatisfactory, and the annotation vocabulary is still limited due to the use of a small scale training set. In this paper, a novel video annotation framework based on the video object is presented, named object-based...
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 classification approach is one promising technique used for image annotation. In order to improve image annotation accuracy, recent researchers propose to use AdaBoost algorithm for the ensemble of classifiers and the weak classifiers in it are constructed on sharing features associated with class subsets. We use all the 25 image low-level features of multimedia content description interface...
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