[1] Wang Qiang, Sun Zhengxing,. Online composite shape recognition based on relevance feedback [J]. Journal of Southeast University (English Edition), 2005, 21 (2): 153-158. [doi:10.3969/j.issn.1003-7985.2005.02.008]
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Online composite shape recognition based on relevance feedback(
)
基于相关反馈技术的在线复杂图形识别
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 21
- Issue:
- 2005 2
- Page:
- 153-158
- Research Field:
- Computer Science and Engineering
- Publishing date:
- 2005-06-30
Info
- Title:
- Online composite shape recognition based on relevance feedback
- 基于相关反馈技术的在线复杂图形识别
- Author(s):
- Wang Qiang; Sun Zhengxing
- State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China
- Keywords:
- sketchy-based user interface; online composite shape recognition; dynamic user modeling; relevance feedback
- PACS:
- TP391
- DOI:
- 10.3969/j.issn.1003-7985.2005.02.008
- Abstract:
- This paper describes a novel method of online composite shape recognition in terms of the relevance feedback technology to capture a user’s intentions incrementally, and a dynamic user modeling method to adapt to various users’ styles.First, the relevance feedback is adapted to refine the recognition results and reduce the ambiguity incrementally based on the establishment of a feature-based vector model of a user’s sketches.Secondly, a dynamic user modeling is introduced to model the user’s sketching habits based on recording and analyzing historical information incrementally.A model-based matching strategy is also employed in the method to recognize sketches dynamically.Experiments prove that the proposed method is both effective and efficient.
- 提出一种在线复杂图形识别方法, 在该方法中引入相关反馈技术来逐渐捕获用户绘图意图并使用用户模型来适应不同用户的绘图习惯.首先, 在根据图形向量化特征的相似度计算给出候选识别结果的基础上, 利用相关反馈技术不断降低模糊性而提高识别效果.其次, 通过记录和分析“历史信息”动态的为不同用户建立用户模型, 从而适应不同的用户习惯和绘图意图.同时, 引入了一个基于模型的动态匹配策略.实验证明所介绍的识别方法在试验中取得了很好的效果.
References:
[1] Fish J, Scrivener S.Amplifying the mind’s eye:sketching and visual cognition[J].Leonardo, 1990, 23(1):117-126.
[2] Sun Z X, Liu W Y, Peng B B, et al.User adaptation for online sketchy shape recognition [A].In:Proceedings of GREC Conference[C].Barcelona, Spain, 2003.305-315.
[3] Rocchio J J.Relevance feedback information retrieval [A].In:Salton G, ed.The Smart Retrieval System:Experiments in Automatic Document Processing [C].Englewood Cliffs, NJ:Prentice Hall, 1971.313-323.
[4] Sun J Y, Jin X Y, Pen B B, et al.A method of fast on-line graphics recognition and regularization [J].Computer Science, 2003, 30(2):172-176.
[5] Aigrain O H, Zhang H, Petkovic D.Content-based representation and retrieval of visual media:a state of the art review [J].Multimedia Tools and Applications, 1996, 3(1):179-202.
[6] Xu X G, Sun Z X, Liu W Y.Matching spatial relation graphs using a constrained partial permutation strategy [J].Journal of Southeast University (English Edition), 2003, 19(3):236-239.
Memo
- Memo:
- Biographies: Wang Qiang(1982—), male, graduate;Sun Zhengxing(corresponding author), male, doctor, professor, szx@nju.edu.cn.