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With the rapid development of social media, research about its application and organization has attracted considerable attention. Many social media sharing websites allow users to tag the uploaded images with tags. However, the tags are usually uncontrolled, ambiguous, and overly personalized. One of the most challenging issues is how to match the textual tags with the visual image to rank tags accurately...
For the network environment with the limited transmission capacity, a multi-nodes image retrieval method based on visual words is proposed. Firstly, the visual words of query image are built by using the K-means clustering method after the color features and SIFT features of query image are extracted. Then the visual-words histogram of the query image is carried by the mobile Agent. The image similarity...
An important element of BBS public opinion analysis system is to update the contents of knowledge regular library dynamically adding sensitive words constantly to knowledge regular library. Apriori algorithm is classical algorithm of mining association rules. This paper presents a new method of adding the contents of knowledge regular automatically using association rule models. Experimental results...
A novel classification method of video shot genre based on data-mining has been proposed. Shot boundary detection and key frames extraction are firstly performed. Then, some visual features such as color and motion are extracted for the key frame and shots. Furthermore, decision tree is applied to discover the rules between these features and shots genres from numerous training data. These rules are...
The paper addresses a novel, fast and low complexity gaze tracking method, which remedies computation complexity and real-time processing problems of most existing gaze tracking methods. Face images are captured and pre-processed under infrared lamp-houses with dual thresholds. Pupil area is verified by the run-length in eight directions, and the gaze point is located by mapping the vectors of pupil...
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