Browsing by Author "Xu Min"

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Browsing by Author "Xu Min"

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  • Adaptive Local Hyperplanes for MTV affective analysis 
    Xu Min; Chen Ling; He Xiangjian; Xu Chengchao; Jin Jesse Sheng (ACM, 2010)
    Affective analysis attracts increasing attention in multimedia domain since affective factors directly reflect audiences' attention, evaluation and memory. Existing study focuses on mapping low-level affective features to ...
  • Automatic cell segmentation in microscopic color images using ellipse fitting and watershed 
    Park Mira; Jin J; Peng Yu; Summons D; Yu D; Cui Yue; Luo Suhuai; Felix W; Santos Leonardo D; Xu Min (IEEE Computer Society, 2010)
    This paper presents an efficient and innovative method for the automated counting of cells in microscopic image. The performance of watershed-based algorithms for the segmentation of clustered cells has been well demonstrated. ...
  • Cascade Based License Plate Localization with Line Segment Features and Haar-Like Features 
    Peng Yu; Xu Min; Jin Jesse; Luo Suhuai; Zhao Gang (IEEE Computer Society, 2011)
    AdaBoost classifiers with Haar-like features are widely used for license plate (LP) localization. However, it normally requires high-dimensional Haar-like features which cause extremely high computational cost. In this ...
  • A Close-up Detection Method for Movies 
    Liu Huiying; Xu Min; Huang Qingming; Jin Jesse Sheng; Jiang Shuqiang; Xu Changsheng (IEEE Computer Society, 2010)
    Close-up (CU) is a photographic technique which tightly frames a person or an object. In movies, it is applied to guide audience attention and to evoke audience emotion. In this paper, we detect face CU, object CU and lean ...
  • Clustering Nuclei Using Machine Learning Techniques 
    Peng Yu; Park Mira; Xu Min; Luo Suhuai; Jin Jesse Sheng; Cui Yue; Felix W; Santos Leonardo D (IEEE Computer Society, 2010)
    Cervical cancer is the second most common cancer among women. Meanwhile, cervical cancer could be largely preventable and curable with regular Pap tests. Nuclei changes in the cervix could be found by this test. Accurate ...
  • Computer Aided Abnormality Detection for Microscopy Images of Cervical Tissue 
    Cui Yue; Jin Jesse Sheng; Park Mira; Luo Suhuai; Xu Min; Peng Yu; Felix W; Santos Leonardo D (IEEE Computer Society, 2010)
    Cervical cancer is the second most common malignancy among woman worldwide, if it is detected in early stage, cure rate is relatively high. Computer aided abnormality detection for cervical smear is developed to assist ...
  • Content - aware broadcast soccer video retargeting using fuzzy logic 
    Gao L; Xu Min; Yan S.; Liu Mg; Hou Ch (IEEE, 2011)
    A content-aware video retargeting method is proposed for playing broadcast soccer video in small displays. Four visual perception clues are predefined based on soccer game-specific knowledge and modelled by visual attention ...
  • Landmark Recognition and Retrieval : From 2D to 3D 
    Xiao Xian; Xu Changsheng; Wang Jinqiao; Xu Min (ACM NY USA, 2011)
    Existing landmark retrieval methods cannot provide a comprehensive solution, by which user can view different angles of landmark. In this paper, we propose a novel approach to reconstruct and retrieve 3D landmark models ...
  • Learning From Very-Few Labeled Examples with Soft Labels 
    Mu Yadong; Xu Min; Yan Shuicheng (IEEE Computer Society, 2010)
    In this paper we propose Softboost, a novel Boosting al-gorithm which combines the merits of transductive and inductive learning approaches to attack the problem of learning from very few labeled training examples. In the ...
  • Learning priors for super-resolution in video sequence 
    Peng Yu; Jin Jesse Sheng; Luo Siwei; Xu Min (ACM, 2010)
    Video becomes a crucial information resource in last decades, because of the rapid development of camera as well as the internet explosion. High-quality video sequences are always desired in lots of fields. Since the ...
  • Shot Classification Using Domain Specific Features for Movie Management 
    Xu Min; He Xiangjian; Hasan Muhammad; Chen L. (Springer Heidelberg Dordrecht London NewYork, 2012)
    Among many video types, movie content indexing and retrieval is a significantly challenging task because of the wide variety of shooting techniques and the broad range of genres. A movie consists of a series of video shots. ...
  • Using Scripts for Affective Content Retrieval 
    Xu Min; He Xiangjian; Jin Jesse S; Peng Yu; Xu Changsheng; Guo Wen (Springer-Verlag Berlin Heidelberg, 2010)
    Movie affective content analysis attracts increasing research efforts since affective content not only affect users attentions but also locate movie highlights. However, affective content retrieval is still a challenging ...
  • Visual Attention Based Motion Object Detection and Trajectory 
    Guo Wen; Xu Changsheng; Ma Songde; Xu Min (Springer-Verlag Berlin Heidelberg, 2010)
    A motion trajectory tracking method using a novel visual attention model and kernel density estimation is proposed in this paper. As a crucial step, moving objects detection is based on visual attention. The visual attention ...
  • Visual Attention Based Small Object Segmentation in Natural Images 
    Guo Wen; Xu Changshen; Ma Songde; Xu Min (IEEE Computer Society, 2010)
    Small object segmentation is a challenging task in image processing and computer vision. In this paper we propose a visual attention based segmentation approach to segment interesting objects with small size in natural ...