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International Conference on multimedia Communications

作者： Lu, Bing Sun, Yanfeng Wang, Lichun Beijing Key Laboratory of Multimedia and Intelligent Software College of Computer Science and Technology Beijing University of Technology Beijing China

ISBN: (纸本)9780769541365

Driver fatigue detection is an important research content in the field of HCI (Human-Computer Interaction) and CV (Computer Vision). For the effectiveness about the face image expression using Gabor feature, many researchers introduced the Gabor wavelet to the recognition of fatigue. The dimension of Gabor feature, however, is too high, besides the computation and memory requirements are too large, so it needs dimensional reduction. In this paper, we present a dynamic Gabor feature fatigue analysis method based on features fusion. First, Gabor filters are employed to extract multi-scale and multi-orientation features from each image in the face image sequences. Then we threshold Gabor features and fused them based the encoding manner. Finally, dynamic face features that after fused are extracted for fatigue detection. The method in this paper is able to reduce the dimension of features effectively, and also acquire the satisfactory experimental results. © 2010 IEEE.

关键词： Gabor filters

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A Robust Hand Gesture Recognition Method via Convolutional Neural Network 6

A Robust Hand Gesture Recognition Method via Convolutional N...

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6th International Conference on Digital Home, ICDH 2016

作者： Yingxin, Xing Jinghua, Li Lichun, Wang Dehui, Kong Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Metropolitan Transportation Beijing University of Technology Beijing China

ISBN: (纸本)9781509044009

Hand gesture plays an important role in nonverbal communication and natural human-computer interaction. However, the complex hand gesture structure and various environment factors lead to low recognition rate. For instance, hand gesture depends on individuals, and different individuals' hands are with different sizes and postures, in addition, unconstrained environmental illumination also influences hand gesture recognition performance. Therefore, hand gesture recognition is still a challenging issue. This paper proposes a robust method for hand gesture recognition based on convolutional neural network, which is utilized to automatically extract the spatial and semantic feature of hand gesture. Our method consists of a modified Convolutional Neural Network structure and data preprocessing, which corporately increase hand gesture recognition performance. The experimental results on both Cambridge Hand Gesture Dataset and self-constructed dataset show that the proposed method is effective and competitive. © 2016 IEEE.

关键词： Neural networks

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An improved ontology learning algorithm from relational schema

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Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia 2016年第7期39卷 63-68页

作者： Yiqing, Lu Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Metropolitan Transportation Beijing University of Technology Beijing100124 China School of Information Management Beijing Information Science and Technology University Beijing100192 China

Currently, semantic integration became an attractive area in several disciplines, such as information integration, databases and ontologies. As many useful data are stored in the existing database management system of enterprises, the ontology learning method could be used to convert relational database to ontology. Therefore, one of the main challenges in the research of data integration and sharing based on semantics is to construct the mapping between relational databases and anthologies. Moreover, the use of manual work in the mapping of web contents to ontologies is impractical because it contains billions of pages and the most of these contents are generated from relational databases. In this paper, improved mapping rules are proposed in this paper to convert relational database schema to ontology. The corresponding algorithm is put forward and the affection of algorithm is analyzed. This approach is effective for building ontology and important for mining semantic information from huge web resources.

关键词： Information management

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Data-Driven Tight Frame for Multi-channel Images and Its Application to Joint Color-Depth Image Reconstruction

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Journal of the Operations Research Society of China 2015年第2期3卷 99-115页

作者： Jin Wang Jian-Feng Cai Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Metropolitan TransportationBeijing University of TechnologyBeijing 100124China Department of Mathematics University of IowaIowa CityIA 52242USA

In image restoration,we usually assume that the underlying image has a good sparse approximation under a certain *** tight frame system has been proven to be such an efficient system to sparsely approximate piecewise smooth ***,it has been widely used in many practical image restoration ***,images from different scenarios are so diverse that no static wavelet tight frame system can sparsely approximate all of *** overcome this,recently,Cai ***.(Appl Comput Harmon Anal 37:89–105,2014)proposed a method that derives a data-driven tight frame adapted to the specific input image,leading to a better sparse *** data-driven tight frame has been applied successfully to image denoising and CT image *** this paper,we extend this data-driven tight frame construction method to multi-channel *** construct a discrete tight frame system for each channel and assume their sparse coefficients have a joint *** multi-channel data-driven tight frame construction scheme is applied to joint color and depth image *** results show that the proposed approach has a better performance than state-of-the-art joint color and depth image reconstruction approaches.

关键词： Data-driven tight frame Group sparsity Image reconstruction

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Spatial and temporal visual speech feature for Chinese phonemes

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Journal of Information and Computational Science 2012年第14期9卷 4177-4185页

作者： Jia, Xibin Han, Yanfang Powers, David Bao, Xiyuan Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing 100124 China School of Computer Science Engineering and Mathematics Flinders University of South Australia Adelaide Australia

This paper aims to propose a practical set of features for representing the visual speech of Chinese phonemes. The state and hence visibility of teeth and tongue play important roles in pronunciation, but discriminating them in images or video is tricky. This paper introduces the concept of inner appearance features based on structural analysis. Our experiment results show preliminary evidence that describing the pixel distribution of the upper and lower inner mouth separately can improve the ability to discriminate useful facial features as well as individual phonemes. The Chinese phonemes defined in the SAPI Speech Interface generally corresponding to one character or morpheme, and our dynamic feature is proposed based on the traditional division of these syllabic phonemes into a consonant-like onset and a vowel-and/or nasal-like coda. Features are established by combining a series of frames and identifying the most salient change frame as the key frame to avoid provide an objective framework for phoneme onset recognition. Our work provides a basis for bimodal AudioVisual Chinese speech recognition as well as unimodal Visual speech reading, but is also targeted to AudioVisual speaking face/talking head synthesis. 1548-7741/Copyright © 2012 Binary Information Press.

关键词： Linguistics

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Face detection for multidimensional description adaptive video coding

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Journal of Information and Computational Science 2008年第5期5卷 2361-2368页

作者： Jiang, Xiaojun Shi, Yunhui Sun, Yanfeng Yin, Baocai Niu, Xiuyan Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science and Technology Beijing Beijing University of Technology Beijing 100124 China Department of Mathematics and Physics Hebei Normal University of Science and Technology Qinhuangdao 066004 China

In this paper, we propose a novel method with which we can locate faces in a video sequence based haar-like feature, as an extension to Viola and Jones' cascade learning method for object detection. Our method is adopted to supply region of interest of one frame for adaptive video coding based on multidimensional description space. The detector is programmed by C language so that it will be integrated in AV S coder. Our goal is to achieve lower false positive rate so that detector will hardly detect any false face if there is no face in one frame of a video. To meet the target, we make an improvement on the aspects of how to select feature, set sample weight and decrease threshold of weak classifier and strong classifier. Experimental results show that our detector yields high classification performance over frame-based detection. 1548-7741/Copyright © 2008 Binary Information Press October 2008.

关键词： Adaptive boosting

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3D face recognition based on sparse representation

3D face recognition based on sparse representation

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作者： Tang, Hengliang Sun, Yanfeng Yin, Baocai Ge, Yun Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science and Technology Beijing University of Technology Beijing 100124 China

In this paper, we present a novel 3D face recognition algorithm based on the sparse representation. First, a 3D face normalization approach is proposed to deal with the raw faces. Then, three types of facial geometrical features are extracted to describe the 3D faces. Meanwhile, in order to guarantee the feasibility of the sparse representation framework and promote the recognition efficiency, a novel feature ranking scheme based on Fisher linear discriminant analysis (FLDA) is designed to arrange the facial descriptors. Finally, the sparse representation framework is used to collect all the face features, and it addresses the recognition task. The experiments tested on the BJUT-3D and FRGC v2.0 databases demonstrate the validity of the proposed 3D face recognition algorithm, and the necessity of the FLDA ranking scheme in the sparse representation framework. © 2010 Springer Science+Business Media, LLC.

关键词： Face recognition

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Fast intra prediction mode decision for H.264/AVC based on edge direction detection

Fast intra prediction mode decision for H.264/AVC based on e...

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5th International Conference on Visual Information Engineering, VIE 2008

作者： Shi, Jijun Shi, Yunhui Yin, Baocai Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science and Technology Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9780863419140

The rate-distortion optimization (RDO) technique is employed in H.264/AVC intra frame coding to achieve the best rate-distortion performance. But the computational complexity is very high because it encodes the current block by exhaustively searching all possible modes to select the best one. To reduce the computational complexity we propose a new fast algorithm based on edge direction detection (EDD) to reduce the number of candidate modes for further RDO calculation. The proposed algorithm can accurately detect the edge direction of different blocks to reduce the number of candidate modes for further RDO calculation. The simulation results show that the proposed algorithm contributes to the bit-rate reduction compared to that of previous algorithms and saves around 62% of the encoding time with negligible PSNR degradation. ©2008 The Institution of Engineering and technology.

关键词： Computational complexity

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A height-difference-based ray tracing of point models

A height-difference-based ray tracing of point models

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10th International Conference on Virtual Reality Continuum and Its Applications in Industry, VRCAI'11

作者： Cai, Peng Kongt, Dehui Wang, Shaofan Yin, Baocai Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science and Technology Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9781450310604

Representation and rendering techniques of point models are important in computer graphics. The main drawbacks of current ray tracing methods for point models are coarse rendering effects in the parts of silhouettes and sharp features and high computation cost. We propose a ray tracing method for point models, based on the height difference function defined by blending projective distances between the point of ray and the corresponding splats. Our method performs high rendering qualities in particular in the parts of silhouettes and sharp features, because the height difference function precisely approximates geometric features in the joint part of splats. Moreover, the computation of intersection of our method is viewpoint-independent. The experiments show that our method performs good rendering quality and has high convergence rate. © 2011 ACM.

关键词： Ray tracing

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Gestures' smooth motion for chinese sign language synthesis based on video joining

Gestures' smooth motion for chinese sign language synthesis ...

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2009 International Conference on Computational Intelligence and software Engineering, CiSE 2009

作者： Wang, Ru Kong, Dehui Wang, Lichun Yin, Baocai Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science and Technology Beijing University of Technology Beijing 100022 China

ISBN: (纸本)9781424445073

In this paper, to improve the gestures' motion smoothness when synthesizing Chinese sign videos, 61 kinds of Chinese hand shape models and corresponding Chinese hand shape codes are proposed, which are used to choose transferring hand shapes by judging the fingers' bending degrees and relationships between the joined sign gestures with obvious motion changes. Besides, we also construct an extending sign video database to synthesize any sentence in the field of domain weather report based on joining video clips. ©2009 IEEE.

关键词： Joining

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