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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Xinyu Cao Cungen Cao Shi Wang Han Lu Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

An important problem in text mining is the automatic extraction of semantic relations. The paper provides a domain independent method for automatic extraction of part-whole relations in Chinese corpusa. The method consists of there phases. First, a set of lexico-syntactical patterns for part-whole relations are designed using known pairs of concepts encoding part-whole relations as seeds, and manually filtering the extracted sentences. Second, Pairs of concepts are extracted using the patterns from a training corpus, which may reflect part-whole relations. Finally, the extracted pairs of concepts are further confirmed using a set of heuristic rules generated based on an analysis of Chinese syntactical and semantic features. Based on a test corpus, the method achieves satisfactory results.

关键词： Hard disks Zinc Fuzzy systems Data mining information processing Computers Filters Text mining Encoding Filtering

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A statistical framework for replay detection in soccer video

A statistical framework for replay detection in soccer video

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Ying Yang Shouxun Lin Yongdong Zhang Sheng Tang Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

A novel statistical framework for replay detection is presented in this paper. Unlike current methods, the proposed framework exploits both inherent characters and transition relations of replay and non-replay scenes based on annotation of the video, which realizes segments and classifies video stream into replay and non-replay shots simultaneously. After annotation, the detected replay segment is further verified and its boundaries are adjusted to get more accurate replay segment considering probability distribution of lengths of replay and non-replay shots. Experimental results on soccer video are promising, demonstrating the effectiveness of the proposed framework.

关键词： Layout Streaming media Gunshot detection systems Probability distribution lab.ratories information processing Computers Event detection Cameras Machine learning

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Combining KPCA and PSO for pattern denoising

Combining KPCA and PSO for pattern denoising

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2008 Chinese Conference on Pattern Recognition, CCPR 2008

作者： Li, Jianwu Su, Lu Beijing Key Lab. of Intelligent Information School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781424423163

KPCA based pattern denoising has been addressed during recent years. This method, based on machine learning, maps nonlinearly patterns in input space into a higher-dimensional feature space by kernel functions, then performs PCA in feature space to realize pattern denoising. The key difficulty for this method is to seek the pre-image or an approximate pre-image in input space corresponding to the pattern after denoising in feature space. This paper proposes to utilize particle swarm optimization (PSO) algorithms to find pre-images in input space. Some nearest training patterns from the pre-image are selected as the initial group of PSO, then PSO algorithm performs an iterative process to find the pre-image or a best approximate pre-image. Experimental results based on the USPS dataset show that our proposed method outperforms some traditional techniques. Additionally, the PSO-based method is straightforward to understand, and is also easy to realize. ©2008 IEEE.

关键词： Iterative methods

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Locally Assembled Binary (lab. Feature with Feature-centric Cascade for Fast and Accurate Face Detection

Locally Assembled Binary (LAB) Feature with Feature-centric ...

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26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.11

作者： Shengye Yan Shiguang Shan Xilin Chen Wen Gao Key Lab of Intelligent Information Processing Chinese Academy and Sciences Beijing China Key Lab of Intelligent Information Processing Chinese Academy of Sciences (CAS) Beijing China School of EE& Peking University Beijing China Digital Media Research Center Institute of Computing Technology Chinese Academy and Sciences Beijing China

In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (lab. Haar feature. lab.feature is basically inspired by the success of Haar feature and Local Binary Pattern (LBP) for face detection, but it is far beyond a simple combination. In our method, Haar features are modified to keep only the ordinal relationship (named by binary Haar feature) rather than the difference between the accumulated intensities. Several neighboring binary Haar features are then assembled to capture their co-occurrence with similar idea to LBP. We show that the feature is more efficient than Haar feature and LBP both in discriminating power and computational cost. Furthermore, a novel efficient detection method called feature-centric cascade is proposed to build an efficient detector, which is developed from the feature-centric method. Experimental results on the CMU+MIT frontal face test set and CMU profile test set show that the proposed method can achieve very good results and amazing detection speed.

关键词： Assembly Face detection Computer vision Detectors Content addressable storage Computational efficiency Testing intelligent robots Humans Skin

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A DDL-Based Model for Web Service Composition in Context-Aware Environment

A DDL-Based Model for Web Service Composition in Context-Awa...

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IEEE International Conference on Web Services (ICWS)

作者： Wenjia Niu Zhongzhi Shi Changlin Wan Liang Chang Hui Peng Graduate School of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

Dynamic description logic (DDL) is among the few emerging service composition solutions through logical reasoning. To overcome low efficiency and lacking context-aware support of DDL reasoning, we propose a new DDL-based service composition model, which supports context-based service pre-filtering over DDL reasoning space. The pre-filtering runs under the BPEL workflow and a distributed reasoning algorithm need to reasoning different contexts after pre-filtering.

关键词： Context modeling Web services Context-aware services Filtering Logic information processing Computers Artificial intelligence Distributed algorithms Filters

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Spatial-temporal attention analysis for home video

Spatial-temporal attention analysis for home video

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xuekan Qiu Shuqiang Jiang Huiying Liu Qingming Huang Longbing Cao Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Sydney University of Technology Sydney Australia

In this paper, by considering the multiple spatial-temporal characteristic of visual perception system, we propose a novel home video attention analysis method. Firstly, each frame of the video is segmented into regions which are more informative than pixels and image blocks. Then the saliency of each region is analyzed by combining static, motion and location attentions. Finally a region based saliency map is generated for each frame, and an attention score curve is obtained for the video clip by combining attention scores of all regions in each frame. Both of them can be utilized in wide applications. This method takes advantage of the properties of human visual perception and can well present the attention information of home videos. Experimental results show the effectiveness of this approach.

关键词： Cameras Image segmentation Multimedia communication Multimedia systems Streaming media Pixel Visualization

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An Innovative Model of Tempo and Its Application in Action Scene Detection for Movie Analysis

An Innovative Model of Tempo and Its Application in Action S...

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IEEE Workshop on Applications of Computer Vision (WACV)

作者： Anan Liu Jintao Li Yongdong Zhang Sheng Tang Yan Song Zhaoxuan Yang School of Electronic Engineering Tianjin University TJU Tianjin China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Institute for Computing Technology Beijing China

In this paper, we present an innovative model of tempo and its application in action scene detection for movie analysis. For the first time, we clearly propose that tempo indicates the rhythm of both movie scenarios and human perception. By thoroughly analyzing both aspects, we classify the factors of tempo into two sorts. The first is based on the film grammar and we use the low level features of shot length and camera motion to describe filmmaking by directors. The second is based on the human perception and we originally propose the information measure for perception depending on the cognitive informatics, a newly emerging and significative subject. With the information in both visual and auditory modalities, the low level features of motion intensity, motion complexity, audio energy and audio pace are integrated for the formulation of information to describe the viewers' emotional changes to continuously developing storyline. With both aspects, tempo is defined and tempo flow plot is derived as the clue of storyline. On the basis of video structuralization and movie tempo analysis, we build a system for hierarchical browse and edit with action scene annotation. The large-scale experiments demonstrate the effectiveness and generality of tempo for action movie *** this paper, we present an innovative model of tempo and its application in action scene detection for movie analysis. For the first time, we clearly propose that tempo indicates the rhythm of both movie scenarios and human perception. By thoroughly analyzing both aspects, we classify the factors of tempo into two sorts. The first is based on the film grammar and we use the low level features of Shot Length and Camera Motion to describe filmmaking by directors. The second is based on the human perception and we originally propose the information measure for perception depending on the cognitive informatics, a newly emerging and significative subject. With the information in both visual and auditor

关键词： Layout Motion pictures Humans information analysis information retrieval lab.ratories information processing Computers Rhythm Cameras

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Build Context-based Reasoning Space for Web Service Composition

Build Context-based Reasoning Space for Web Service Composit...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Wenjia Niu Peng Hui Peng Cao Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Graduate School of the Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China Chinese Academy of Sciences Beijing Beijing CN

Dynamic description logic (DDL) is among the few emerging service composition solutions through logical reasoning in AI area. To increase DDL reasoning efficiency, we proposed a new DDL-based service composition model that supports context-aware service pre-filtering over DDL reasoning space. In this model, service filtering based on contexts runs under the workflow control logic. We evaluated filtering approach on a simple, yet realistic example, and the results shows this approach provides a practical solution.

关键词： Context-aware services Web services Logic Context modeling Filtering Artificial intelligence Computational intelligence Space technology lab.ratories Competitive intelligence

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A pixel-wise local information-based background subtraction approach

A pixel-wise local information-based background subtraction ...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Zhong Wei Shuqiang Jiang Qingming Huang Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences China Institute of Computing Technology Chinese Academy and Sciences Beijing China

Background subtraction is a widely used method for moving object detection in computer vision. It is usually applied in video surveillance systems. There are two major kinds of background subtraction approaches: pixel-based and block based. Yet there are three problems that can not be simultaneously solved by either method: the robustness to illumination changes, the effectiveness in suppressing shadows, and the smoothness of foregroundpsilas boundary. In order to solve these problems, a pixel-wise local information-based background subtraction method is proposed in this paper. In the proposed method, Gabor filters are performed to extract the spatial feature vectors for each pixel from the source image sequence. Then, the spatial feature vectors are modeled by Gaussian Mixture Model, and then moving objects are detected. Experiments show the validity of the proposed method.

关键词： Pixel Gabor filters Computational modeling Feature extraction Lighting Mathematical model Computer vision

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A context model for service composition based on dynamic description logic

IFIP Advances in Information and Communication Technology

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IFIP Advances in information and Communication technology 2008年 288卷 7-16页

作者： Niu, Wenjia Shi, Zhongzhi Chang, Liang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China Graduate School of the Chinese Academy of Sciences Beijing100039 China

ISBN: (纸本)9780387876849

A service composition task for service broker is to discovery and compose provider’s services to satisfy user’s request. Many researchers model the context utilizing ontology-based or attribute-based method to assist service composition. We propose a new context model by combining the context logic with the dynamic description logic (DDL), where user’ context, provider’s context and broker’s context are described by DDL separately and reasoned under the context logic. The reasoning results finally can be used to discovery and compose services intelligently. We evaluate this model on a simple, yet realistic example, and the results show that our context model provides a practical solution. © 2008, Springer New York LLC . All rights rserved.

关键词： Data description

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