Zhiyong Huang

Wuhan University, Wu-han-shih, Hubei, China

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Publications (10)1.14 Total impact

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    ABSTRACT: In this paper, we introduce a novel 2D-3D hybrid video stabilization method which combines virtues of 2D and D video stabilization methods in one routine. It attempts to achieve high-quality camera motions and to retain full frame coherence in each frame, at while, ensure that local regions undergo a similarity transformation. We solve the stabilization problem by integrating 3D and 2D video stabilization methods into one routine. It smooths camera motions and explicitly employs local motion information which constraints video frames to be temporal coherent, and achieves high-quality video stabilization. Experiments show that our method not only can achieve high-quality camera motion on good 3D reconstructed scene, but also can deal with complicated videos containing near, large moving objects. Keywords-video stabilization; video retargeting;
    12th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2011, Jinan, China, September 15-17, 2011; 01/2011
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    ABSTRACT: Most image retargeting algorithms rely heavily on valid saliency map detection to proceed. However, the inefficiency of high quality saliency map detection severely restricts the application of these image retargeting methods. In this paper, we propose a random algorithm for efficient context-aware saliency map detection. Our method is a multiple level saliency map detection algorithm that integrates multiple level coarse saliency maps into the resulting saliency map and selectively updates unreliable regions of the saliency map to refine detection results. Because of the randomized search, our method requires very little additional memory beyond that for the input image and result map, and does not need to build auxiliary data structures to accelerate the saliency map detection. We have implemented our algorithm on a GPU and demonstrated the performance for a variety of images and video sequences, compared with state-of-the-art image processing.
    Sciece China. Information Sciences 01/2011; 54:1207-1217. · 0.71 Impact Factor
  • Xiaoxia Li, Xiantao Cai, Fazhi He, Zhiyong Huang
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    ABSTRACT: Heterogeneous CAD data exchange is very important in collaborative product development and also extremely difficult. Feature-based data exchange has many advantages than traditional geometry-based data exchange. According to the framework of procedure recovery in feature-based data exchange, this paper discusses the key issues of feature extraction and reconstruction, including the extraction of first-order feature information, extraction of second-order feature information and the reconstruction of feature model. The proposed methods have been tested in experiments. The result shows that propsed approach has efficiently improved the former researches, such as ISO/STEP method, Macro command method and UPR method.
    Computer Supported Cooperative Work in Design (CSCWD), 2010 14th International Conference on; 05/2010
  • Huajun Liu, Fazhi He, Xiaoxia Li, Zhiyong Huang
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    ABSTRACT: One difference between real-time CSCW systems and traditional distributed systems is that the former one needs to provide a natural, free and fast interface for multi-user interaction. However, typical multi-user interaction methods in 3D CAD systems apply strict consistency maintenance, such as lock mechanism and floor control which result in a stagnant and unnatural interface. This article proposes a semantic-based operational transformation (OT), which is similar to the traditional OT form, to support less constraint multi-user interaction and to achieve consistency in collaborative CAD editing (co-CAD) systems. Major technical contributions of this article include: a 3D semantic priority to select operations from waiting list, an OT strategy to decide OT direction, OT rules and a kernel OT function for co-CAD systems.
    Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010, April 14-16, 2010, Fudan University, Shanghai, China; 01/2010
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    ABSTRACT: How to name the topological entities is the footstone of collaborative modeling systems. This paper presents a method to correspond topological entities in non-quiescent context of replicated collaborative CAD system. The proposed method adopts an automatic undo/do/redo mechanism to restore the definition context of CAD command to achieve a consistent naming mechanism in non-quiescent context.
    Computer-Aided Design and Computer Graphics, 2009. CAD/Graphics '09. 11th IEEE International Conference on; 09/2009
  • Yuan Cheng, Fazhi He, Shuxu Jing, Zhiyong Huang
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    ABSTRACT: Undo/Redo can help rolling the whole system back to some previous state. However, many group Undo/Redo researches are based on co-edit system of text object. This paper firstly addresses the Undo/Redo in 3D collaborative solid modeling system. After analysis of the existing Undo/Redo method, this article proposed a multiuser Undo/Redo method in replicated collaborative modeling system. The implementation of the Undo/Redo operation in both local site and remote site is described in detail respectively. In our method, the user's intention can be preserved. The preservation is based on dependency relationship among users at different sites. The proposed approach has been tested in a prototype system with case study.
    Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, CSCWD 2009, April 22-24, 2009, Santiago, Chile; 01/2009
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    ABSTRACT: Exchange of heterogeneous product data is one of enable techniques in concurrent engineering and collaborative design environments. Beyond the traditional geometry-based data exchange, the feature-based data exchange has a lot of advantages, such as preserving the design intent. Firstly, the existing methods of feature-based data exchange are discussed. Secondly, our latest research on feature-based data exchange is presented. Finally, the comparison of our methods with former typical methods is analyzed with cased study.
    12/2008: pages 395-402;
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    ABSTRACT: This paper presents a new exemplar-based framework for video completion, allowing aesthetically pleasing completion of large space-time holes. We regard video completion as a discrete global optimization on a 3D graph embedded in the space-time video volume. We introduce a new objective function which enforces global spatio-temporal consistency among patches that fill the hole and surrounding it, in terms of both color similarity and motion similarity. The optimization is solved by a novel algorithm, called weighted priority belief propagation (BP), which alleviates the problems of slow convergence and intolerable storage size when using the standard BP. This objective function can also handle video texture synthesis by extending an input video texture to a larger texture region. Experiments on a wide variety of video examples with complex dynamic scenes demonstrate the advantages of our method over existing techniques: salient structures and motion information are much better restored. Copyright © 2008 John Wiley & Sons, Ltd.
    Computer Animation and Virtual Worlds 08/2008; 19(3‐4):341 - 353. · 0.44 Impact Factor
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    ABSTRACT: Image matting is a process of extracting a foreground object from a complex background. This paper proposes a robust interactive image matting approach. The method requires only a few user interactions in the form of drawing a rectangle and a few strokes to indicate background and foreground. We consider the constraints of accuracy and continuity for the estimated alpha values together to find the optimal matte by iteratively energy optimization. Different from existing sampling-based natural image matting methods which use only intensity information from statistic sampling of known foreground and background pixels to estimate the unknown pixels. We consider the distribution of the known pixels in color, texture and spatial spaces, and build a more robust statistical model. At each iteration, the statistical model is updated according to previous results of matting. Furthermore an accuracy function of sampling is proposed. These manipulations make the sampling of foreground and background pixels more accurate and thus improve the performance of the matting processing. Experiments show that compared with previous approaches, our method is more efficient to extract high quality matte for texture-rich images and difficult images in which foreground and background have very similar colors, while requiring a surprising small amount of user interaction.
    Proc SPIE 11/2007;
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    ABSTRACT: Traditional image matting approaches requires user interaction. This paper proposes an automatic framework for natural image matting. The method seamlessly incorporates image matting with the top-down process of segmentation by weighted aggregation to get a rich and multi-scale grapy pyramid representation of the input image. Using the coupling between aggregates in the graph pyramid, the region for matting is detected adaptively and automatically. Meanwhile, foreground and background regions are determined with state variables. An energy function is constructed to represent the similarity and smoothness properties of a matte and is iteratively optimized. Under the automatic matting framework, color sampling is more accurate than existing methods since multi-scale measurements such as intensity and texture are fully considered. Experiments show that the proposed automatic method is more efficient to extract high quality matte even for difficult images in which foreground and background have very similar colors. Another attractive feature of the method is that it can extract mattes for multi-objects at one computing time.
    Proc SPIE 11/2007;