Browsing 08 Information and Computing Sciences by Author "Gao Xinbo"

UTSePress Research/Manakin Repository

Search UTSePress Research


Advanced Search

Browse

My Account

  • UTSePress Research Home
  • >
  • 08 Information and Computing Sciences
  • >
  • Browsing 08 Information and Computing Sciences by Author

Browsing 08 Information and Computing Sciences by Author "Gao Xinbo"

Sort by: Order: Results:

  • Aurora image segmentation by combining patch and texture thresholding 
    Gao Xinbo; Fu Rong; Li Xuelong; Tao Dacheng; Zhang Beichen; Yang Huigen (Academic Press Inc Elsevier Science, 2011)
    The proportion of aurora to the field-of-view in temporal series of all-sky images is an important index to investigate the evolvement of aurora. To obtain such an index, a crucial phase is to segment the aurora from the ...
  • Chinese Text Detection And Location For Images In Multimedia Messaging Service 
    Yan Jq; Tao Dacheng; Tian Cn; Gao Xinbo; Li Xuelong (IEEE, 2010)
    Text detection and recognition for images in multimedia messaging service is a very important task. Since Chinese characters are composed of four kinds of strokes, i.e., horizontal line, top-down vertical line, left-downward ...
  • A Comparative Study of Three Graph Edit Distance Algorithms 
    Gao Xinbo; Xiao Bing; Tao Dacheng; Li Xuelong (Springer-Verlag Berlin, 2009)
    Graph edit distance (GED) is widely applied to similarity measurement of graphs in inexact graph matching. Due to the difficulty of defining cost functions reasonably, we do research oil two GED algorithms without cost ...
  • Digital Watermarking In Image Affine Co-variant Regions 
    Deng Cheng; Gao Xinbo; Tao Dacheng; Li Xuelong (IEEE, 2007)
    In this paper, we present a robust approach of digital watermarking embedding and retrieval for digital images. This new approach works in special domain and it has two major steps: (1) to extract affine co-variant regions, ...
  • Discriminative optical flow tensor for video semantic analysis 
    Gao Xinbo; Yang Yimin; Tao Dacheng; Li Xuelong (Academic Press Inc Elsevier Science, 2009)
    This paper presents a novel framework for effective video semantic analysis. This framework has two major components, namely, optical flow tensor (OFF) and hidden Markov models (HMMs). OFT and HMMs are employed because: ...
  • Embedded Geometric Active Contour With Shape Constraint For Mass Segmentation 
    Wang Ying; Gao Xinbo; Li Xuelong; Tao Dacheng; Wang Bing (Springer-Verlag Berlin, 2009)
    Mass boundary segmentation plays an important role in computer aided diagnosis (CAD) system. Since the shape and boundary are crucial discriminant features in CAD, the active contour methods are more competitive in mass ...
  • The Gabor-based Tensor Level Set Method For Multiregional Image Segmentation 
    Wang Bing; Gao Xinbo; Tao Dacheng; Li Xuelong; Li Jing (Springer-Verlag Berlin, 2009)
    This paper represents a new level set method for multiregional image segmentation. It employs the Gabor filter bank to extract local geometrical features and builds the pixel tensor representation whose dimensionality is ...
  • Gabor-based Texture Representation In AAMs 
    Su Ya; Gao Xinbo; Tao Dacheng; Li Xuelong (IEEE, 2008)
    Active Appearance Models (AAMs) are generative models which can describe deformable objects. However, the texture in basic AAMs is represented using intensity values. Despite its simplicity, this representation does not ...
  • Gabor texture in active appearance models 
    Gao Xinbo; Su Ya; Li Xuelong; Tao Dacheng (Elsevier Science Bv, 2009)
    In computer vision applications, Active Appearance Models (AAMs) is usually used to model the shape and the gray-level appearance of an object of interest using statistical methods, such as PCA. However, intensity values ...
  • Geometrically Invariant Watermarking Using Affine Covariant Regions 
    Deng Cheng; Gao Xinbo; Tao Dacheng; Li Xuelong (IEEE, 2008)
    In this paper, we present a robust approach to digital watermarking embedding and retrieval for digital images. The affine-invariant point detector is used to extract feature regions of the given host image. Image normalization ...
  • Geometrically Invariant Watermarking Using Affine Covariant Regions 
    Deng Cheng; Gao Xinbo; Tao Dacheng; Li Xuelong (IEEE, 2008)
    In this paper, we present a robust approach to digital watermarking embedding and retrieval for digital images. The affine-invariant point detector is used to extract feature regions of the given host image. Image normalization ...
  • Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions 
    Gao Xinbo; Deng Cheng; Li Xuelong; Tao Dacheng (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    Feature-based image watermarking schemes, which aim to survive various geometric distortions, have attracted great attention in recent years. Existing schemes have shown robustness against rotation, scaling, and translation, ...
  • HMM-based graph edit distance for image indexing 
    Xiao Bing; Gao Xinbo; Tao Dacheng; Li Xuelong (John Wiley & Sons Inc, 2008)
    Most of the existing graph edit distance (GED) algorithms require cost functions which are difficult to be defined exactly. In this article, we propose a cost function free algorithm for computing GED. It only depends on ...
  • Image categorization: Graph edit distance + edge direction histogram 
    Gao Xinbo; Xiao Bing; Tao Dacheng; Li Xuelong (Pergamon-Elsevier Science Ltd, 2008)
    This paper presents a novel algorithm for computing graph edit distance (GED) in image categorization. This algorithm is purely structural, i.e., it needs only connectivity structure of the graph and does not draw on node ...
  • Image Categorization: Graph Edit Distance Plus Edge Direction Histogram 
    Gao Xinbo; Xiao Bing; Tao Dacheng; Li X L (Pergamon-elsevier Science Ltd, 2008)
    This paper presents a novel algorithm for computing graph edit distance (GED) in image categorization. This algorithm is purely structural, i.e., it needs only connectivity structure of the graph and does not draw on node ...
  • Image Quality Assessment Based on Multiscale Geometric Analysis 
    Gao Xinbo; Lu Wen; Tao Dacheng; Li Xuelong (IEEE-Inst Electrical Electronics Engineers Inc, 2009)
    Reduced-reference (RR) image quality assessment (IQA) has been recognized as an effective and efficient way to predict the visual quality of distorted images. The current standard is the wavelet-domain natural image ...
  • Image quality assessment based on S-CIELAB model 
    He Lihuo; Gao Xinbo; Lu Wen; Li Xuelong; Tao Dacheng (Springer London Ltd, 2011)
    This paper proposes a new image quality assessment framework which is based on color perceptual model. By analyzing the shortages of the existing image quality assessment methods and combining the color perceptual model, ...
  • An Image Quality Assessment Metric Based Contourlet 
    Lu Wen; Gao Xinbo; Li Xuelong; Tao Dacheng (IEEE, 2008)
    In reduced-reference (RR) image quality assessment (IQA), the visual quality of distorted images is evaluated with only partial information extracted from original images. In this paper, by considering the information of ...
  • Incremental Learning Of Weighted Tensor Subspace For Visual Tracking 
    Wen Jing; Gao Xinbo; Li Xuelong; Tao Dacheng (IEEE, 2009)
    Tensor analysis has been widely utilized in image-related machine learning applications, which has preferable performance over the vector-based approaches for its capability of holding the spatial structure information in ...
  • Incremental pairwise discriminant analysis based visual tracking 
    Wen Ling; Gao Xinbo; Li Xuelong; Tao Dacheng; Li Jie (Elsevier Science Bv, 2010)
    The distinguishment between the object appearance and the background is the useful cues available for visual tracking in which the discriminant analysis is widely applied However due to the diversity of the background ...