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28th Picture Coding Symposium, PCS 2010

作者： Yang, Guolei Liang, Luhong Gao, Wen Peking University China Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)9781424471348

Fast stereoscopic video encoding becomes a highly desired technique because the stereoscopic video has been realizable for applications like TV broadcasting and consumer electronics. The stereoscopic video has high inter-view dependency subject to epipolar restriction, which can be used to reduce the encoding complexity. In this paper, we propose a fast inter-prediction mode selection algorithm for stereoscopic video encoding. Different from methods using disparity estimation, candidate modes are generated by sliding a window along the macro-block line restricted by the epipolar. Then the motion information is utilized to rectify the candidate modes. A selection failure handling algorithm is also proposed to preserve coding quality. The proposed algorithm is evaluated using independent H.264/AVC encoders for left and right views and can be extended to MVC. Experimental results show that encoding times of one view are reduced by 41.4% and 24.4% for HD and VGA videos respectively with little quality loss. © 2010 IEEE.

关键词： Encoding (symbols)

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A novel heterogeneous data integration approach for P2P semantic link network

A novel heterogeneous data integration approach for P2P sema...

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Thirteenth International World Wide Web Conference Proceedings, WWW2004

作者： Zhuge, Hai Liu, Jie China Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Beijing 100080 China

ISBN: (纸本)158113844X

This paper proposes a novel approach to integrate heterogeneous data in P2P networks. The approach includes a tool for building P2P semantic link networks, mechanisms for peer schema mapping, criteria for peer similarity degree measurement, and algorithms for heterogeneous data integration. The approach has three advantages: First, it uses semantic links to describe semantic relationships between peers' data schemas. Second, it deals with the semantic heterogeneity, the structural heterogeneity and the data value inconsistency. Finally, it considers the semantic similarity and structural similarity to forward queries to relevant peers.

关键词： Data reduction

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Fast intra mode selection for stereo video coding using epipolar constraint

Fast intra mode selection for stereo video coding using epip...

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2011 IEEE Visual Communications and Image processing, VCIP 2011

作者： Yang, Guolei Liang, Luhong Gao, Wen Peking University Beijing China Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)9781457713200

Application of stereo video in TV industry and consumer electronics becomes very popular recently. Thus, fast algorithm for stereo video coding is highly desired because of its huge inter-view computational redundancy. In our previous work we proposed an epipolar constraint based fast inter mode selection for stereo video using motion vector of blocks as a indicator of similarity, nevertheless, intra mode selection is also highly complex in standards like H.264/AVC. In this paper, a practical fast intra mode selection is proposed to eliminate the computational redundancy by exploiting inter-view dependency based on epipolar constraint. The proposed method does not rely on disparity estimation. Instead, a sliding window is employed to generate an intra mode candidate pool from macro-blocks on the epipolar line. The candidate pool is then rectified to remove invalid modes and improve accuracy. Finally, optimal prediction mode is selected from the candidate pool. The proposed method can significantly reduce the number of mode candidates/prediction directions compared to exhaustive mode selection by 79%. Experiments on 5 HD video coded in I-frame demonstrate the overall coding time of one view is saved by 56% on average, with slightly video quality loss less than 0.1dB. © 2011 IEEE.

关键词： Redundancy

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A novel heterogeneous data integration approach for P2P semantic link network 04

A novel heterogeneous data integration approach for P2P sema...

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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

作者： Zhuge, Hai Liu, Jie China Knowledge Grid Research Group CAS Key Lab of Intelligent Information Processing Institute of Computing Technology Beijing100080 China

ISBN: (纸本)1581139128

关键词： Semantic Web

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Rich-text document styling restoration via reinforcement learning

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Frontiers of Computer Science 2021年第4期15卷 93-103页

作者： Hongwei LI Yingpeng HU Yixuan CAO Ganbin ZHOU Ping LUO Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing TechnologyCASBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Search Product Center WeChat Search Application DepartmentTencentBeijing 100080China

Richly formatted documents,such as financial disclosures,scientific articles,government regulations,widely exist on ***,since most of these documents are only for public reading,the styling information inside them is usually missing,making them improper or even burdensome to be displayed and edited in different formats and *** this study we formulate the task of document styling restoration as an optimization problem,which aims to identify the styling settings on the document elements,e.g.,lines,table cells,text,so that rendering with the output styling settings results in a document,where each element inside it holds the(closely)exact position with the one in the original *** that each styling setting is a decision,this problem can be transformed as a multi-step decision-making task over all the document elements,and then be solved by reinforcement ***,Monte-Carlo Tree Search(MCTS)is leveraged to explore the different styling settings,and the policy function is learnt under the supervision of the delayed *** a case study,we restore the styling information inside tables,where structural and functional data in the documents are usually *** shows that,our best reinforcement method successfully restores the stylings in 87.65%of the tables,with 25.75%absolute improvement over the *** also discuss the tradeoff between the inference time and restoration success rate,and argue that although the reinforcement methods cannot be used in real-time scenarios,it is suitable for the offline tasks with high-quality ***,this model has been applied in a PDF parser to support cross-format display.

关键词： styling restoration monte-carlo tree search reinforcement learning richly formatted documents tables

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Classification Between Rumors and Explanations of Rumors Based on Common and Difference Subsequences of Sentences 12th

Classification Between Rumors and Explanations of Rumors Bas...

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12th IFIP TC 12 International Conference on intelligent information processing, IIP 2022

作者： Sun, Xiaoping Zhang, Junsheng Sang, Yufei Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute of Scientific and Technical Information of China Beijing China School of Economics Capital University of Economics and Business Beijing China

ISBN: (纸本)9783031039478

Preventing explosion of rumors on the Internet asks for a quick automatic detection mechanism that can detect rumors according to the given true information. Previous automatic rumors detection models are mainly built by training a supervised classification model on a labeled dataset containing rumor samples and true information samples. However, in many real cases, there is only one short piece of available true information sample given by an authority in form of an explanation or a correction of a rumor. The explanation sample is often short and very similar to rumor samples, making it difficult to train a discriminative classifier to check whether a piece of information is a rumor or an explanation of rumors. It is necessary to build a model to detect whether a short text is a rumor text or an explanation of rumors, which can be used to as evidences for detecting and refuting rumors. In this paper, we presented a sentence preprocessing method that extracts the leftmost longest common sequence to obtain the common and difference subsequences between the rumor text and its explanation text to compose samples and train a supervised model for classification between rumors and explanation of rumors. Experiments show the effectiveness of the proposed method. © 2022, IFIP International Federation for information processing.

关键词： Classification (of information)

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Energy-efficient VM placement algorithms for cloud data center 2nd

Energy-efficient VM placement algorithms for cloud data cent...

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2nd International Conference on Cloud computing and Big Data, CloudCom-Asia 2015

作者： Lin, Xiuyan Liu, Zhanghui Guo, Wenzhong Fujian Provincial Key Lab of the Network Computing and Intelligent Information Processing College of Mathematics and Computer Science Fuzhou University Fuzhou350116 China

ISBN: (纸本)9783319284293

Cloud is the computing paradigm which provides computing resource as a service through network. The client can use computing resource in a convenient and on-demand way, just like the water and the electricity we use daily. The mapping between virtual machine and physical machine is the key of the VM scheduling problem. Nowadays we advocate low-carbon life. It calls for the green cloud computing solutions whether protecting the environment or saving the cost of cloud suppliers. The proposed VM placement algorithm is energy-efficient, and considers the multi-dimentional resource constrains, such as CPU, memory, network bandwidth, and so on. The experimental results show that the proposed algorithms not only contribute a lot to energy saving, but also try best to meet the quality of service (QoS). Therefore, we make significant savings in operating cost and make full use of various resources in the cloud data center. The algorithm has promising prospect in application. © Springer International Publishing Switzerland 2015.

关键词： Virtual machine

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Fusing magnitude and phase features with multiple face models for robust face recognition

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Frontiers of Computer Science 2018年第6期12卷 1173-1191页

作者： Yan LI Shiguang SHAN Ruiping WANG Zhen CUI Xilin CHEN Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology (ICT)CASBeijing100190China University of Chinese Academy of Sciences Beijing 100049China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China

High accuracy face recognition is of great importance for a wide variety of real-world applications. Although significant progress has been made in the last decades, fully automatic face recognition systems have not yet approached the goal of surpassing the human vision system, even in controlled conditions. In this paper, we propose an approach for robust face recognition by fusing two complementary features: one is Gabor magnitude of multiple scales and orientations and the other is Fourier phase encoded by spatial pyramid based local phase quantization (SPLPQ). To reduce the high dimensionality of both features, block-wise fisher discriminant analysis (BFDA) is applied and further combined by score-level fusion. Moreover, inspired by the biological cognitive mechanism, multiple face models are exploited to further boost the robustness of the proposed approach. We evaluate the proposed approach on three challenging databases, i.e., FRGC ver2.0, LFW, and CFW-p, that address two face classification scenarios, i.e., verification and identification. Experimental results consistently exhibit the complementarity of the two features and the performance boost gained by the multiple face models. The proposed approach achieved approximately 96% verification rate when FAR was 0.1% on FRGC ver2.0 Exp.4, impressively surpassing all the best known results.

关键词： face recognition fisher discriminant analysis fusion Gabor magnitude feature multiple face models spatial pyramid based local phase quantization

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A global geometric approach for image clustering

A global geometric approach for image clustering

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18th International Conference on Pattern Recognition, ICPR 2006

作者： Sulan, Zhang Chunqi, Shi Zhiyong, Zhang Zhongzhi, Shi Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100080 Graduate School Chinese Academy of Sciences 100039

ISBN: (纸本)0769525210

We propose an appearance-based image clustering approach called GGCI (global geometric clustering for image). For face images taken with varying pose, expression, eyes (wearing sunglasses or not) or object images under different viewing conditions, GGCI uses easily measured local metric information to learn the underlying global geometry of images space, then apply the extended nearest neighbor approach to cluster images. Different from the usual nearest neighbor approach, GGCI considers the density around the nearest points within clusters. Moreover, our approach clusters based on the geodesic distance measure instead of Euclidean distance measure, which better reflects the intrinsic geometric structure of manifold embedded in high dimensional image space. Experimental results suggest that the proposed GGCI approach achieves lower error rates in image clustering when manifolds are embedded in image space. © 2006 IEEE.

关键词： Image classification

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Active E-course for constructivist learning 04

Active E-course for constructivist learning

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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

作者： Zhuge, Hai Li, Yanyan China Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China

ISBN: (纸本)1581139128

An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials into a "concept space" rather than a "page space". Besides highly interactive service, it supports adaptive learning by dynamically selecting, organizing and presenting the learning materials for different students. During the learning progress, it also provides assessments on students' learning performances and gives suggestions to guide them in further learning. We have implemented an authoring tool and a course prototype to support the constructivist learning.

关键词： Flexible structures

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