
Yaqin ZhaoNanjing Forestry University
Yaqin Zhao
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10
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Publications (10)
An effective and prompt features extraction method plays a significant role in a forest fire detection system. However, exhaustively detecting all images in a long monitoring video is a serious time-consuming and simply extracting moving feature between two adjacent frames will greatly degrade the recognition accuracy. In this paper, a novel flame...
The importance of flame detection cannot be ignored in a wildfire video surveillance system due to disturbance of heavy fog and challenging of smoke detection. In this paper a novel method for hierarchical detection of wildfire flame video is presented. Specifically, wildfire flame images are gradually recognized from low level visual features of p...
This paper presents a novel scheme for news video structure indexing and news story clip retrieving. Instead of using low-level features, the method is built upon the combination of topic content and visual features. First of all, a new method of topic caption text detection is proposed in which the topic caption frame is detected by features extra...
This paper presents a new audiovisual integration scheme for racquet sports video structure indexing and highlight generating.
Instead of using low-level features, the method is built upon the combination of visual and audio features. With respect to
prior information about this kind of video content and editing rules, visual features based on domi...
This paper proposes the concept of incomplete and fuzzy decision information system under incomplete information system and completes fuzzy decision information system, unlike either incomplete information system or complete fuzzy decision information system, which is a generalization of them. The rough set model for incomplete and fuzzy decision i...
Video clip retrieval plays a critical role in the content-based sports video retrieval. This paper proposes a content-based retrieval strategy of sports video clip in which visual and auditory features and text information are extracted to locate similar video clips. Because in sports game play scenes are concerned and interested for most audiences...
Audio data is one of typical multimedia data and it contains plenty of information. Audio retrieval is becoming important content in multimedia information retrieval. In multimedia retrieval researches, it becomes more and more important research part how to construct better classifiers for audio classification and retrieval. Support Vector Machine...
It is important to organize the unstructured video data properly for content-based video analysis and retrieval. In this paper, an efficient film video scene detection method is presented by using a rough set-based shot fuzzy clustering algorithm for film. Equivalence relation theory is applied to group video shots into clusters. Initial shot clust...
This paper proposes a clustering method based on probabilistic crowding and k-means. The clustering problem is first converted to a multimodal function optimization with genetic niching. The peaks of multimodal function, which constitute the initial cluster centers for k-means, are identified by probabilistic crowding. The stability analysis proves...
This paper presents a rough set-based fuzzy clustering algorithm in which the objects of fuzzy clustering are initial clusters obtained in terms of equivalence relations. Initial clustering is performed directly by judging whether equivalence relations are equal, not computing the intersection of equivalence classes as usual, and the correctness of...