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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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Single-image super-resolution based on decomposition and sparse representation

Single-image super-resolution based on decomposition and spa...

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International Conference on multimedia Communications

作者： Jing, Guodong Shi, Yunhui Lu, Bing Beijing Key Laboratory of Multimedia and Intelligent Software College of Computer Science and Technology Beijing University of Technology Beijing China

ISBN: (纸本)9780769541365

In this paper, we propose a novel method for solving single-image super-resolution problems. Firstly, using the human visual perception and image gradient features, the image total variation is decomposed into structural components and texture components. Based on the theory about sparse signal representation, we used K-SVD method to generate ultra-complete dictionary and to achieve the reconstruction of the texture component. Then the super-resolution reconstruction of the whole original low resolution image is realized by fused them with the bi-cubic interpolated image reconstruction of the structural components. The proposed method, without external image database support, brings in the whole image information while depends on the fixed - K neighborhood. It can upgrade the fitting performance of the existing methods, and enhance mole detail image information, also improve the reconstructed image quality. © 2010 IEEE.

关键词： Image reconstruction

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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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Adaptive particle size setting and normal calculation methods in fluid rendering

Adaptive particle size setting and normal calculation method...

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4th International Conference on Digital Home, ICDH 2012

作者： Wang, Pengcheng Kong, Dehui Zhang, Yong Yin, Baocai Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science and Technology Beijing University of Technology Beijing China

ISBN: (纸本)9781467313483

In this paper, we present an adaptive particle size setting method in Lagrangian-approach based screen space splatting algorithm in real-time fluid rendering. The particle radius will be adjusted according to its Weber number and local density in the rendering process so that a large radius of peaceful fluid particle can help to eliminate a bumpy surface artifact, and a small radius can prevent obviously spherical shapes of particles in splash. We also propose an adaptive normal calculation method to avoid the numerical calculation errors in normal computation process. An adaptive sampling interval is set in accordance with the viewing distance from camera to the fluid so that fuzzy edges or double image effect in a fixed sampling interval normal computation process could be prevented. Both of the two approaches introduced in this paper take only small amount of computing time and will have little impact on the time consuming property of a real-time fluid rendering application. © 2012 IEEE.

关键词： Particle size

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Eyebrow recognition based on sparsity preserving projections

Eyebrow recognition based on sparsity preserving projections

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2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Yang, Xinwu Xu, Xiaojun Liu, Chunnian Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science and Technology Beijing University of Technology Beijing China

ISBN: (纸本)9781479916603

In order to study the human eyebrow as a novel biometric feature, we proposed an eyebrow recognition method based on sparsity preserving projections (SPP). SPP has already been successfully applied in face recognition, but it has not been applied in other biometric recognition. In this paper, we use SPP in eyebrow recognition, conduct experiments on an eyebrow image database taken from 32 people to verify the feasibility and validity of eyebrow recognition based on this method. In the meantime we also verified the feasibility of eyebrow used as a unique biometric feature for personal identification. © 2013 IEEE.

关键词： Face recognition

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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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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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Adaptive weighted prediction for scalable video coding based on HEVC

Adaptive weighted prediction for scalable video coding based...

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14th Pacific-Rim Conference on multimedia, PCM 2013

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

ISBN: (纸本)9783319037301

Scalable video coding provides an efficient way to serve video contents at different visual quality levels and different resolutions. In this paper, the spatial scalability and quality scalability are evaluated on a base of the new Scalable High-efficiency Video Coding (SHVC) extension of HEVC under development. To further improve the coding efficiency of SHVC, we present a set of coding schemes to exploiting inter-layer redundancies for efficient compression of the enhancement layer. The coding schemes include inter-layer frame prediction, combined weighted prediction and inter-layer adaptive filter, which aim at fully utilizing the reconstructed base pictures in the enhancement layer prediction. Experimental results show the effectiveness of our scheme compared with the simulcast case and other HEVC-based scheme. In average, these schemes can achieve 1.5% and 1.7% BD-rate gain for RA HEVC 2x spatial scalability case and HEVC SNR scalability case, respectively. © Springer International Publishing Switzerland 2013.

关键词： Forecasting

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A novel rate control scheme with region-of-interest concern

A novel rate control scheme with region-of-interest concern

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5th International Conference on Visual Information Engineering, VIE 2008

作者： Shi, Yunhui Yue, Shaoyuan 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

With the further development of the video communication, how to use the limited bandwidth to obtain better visual quality is increasingly important, especially the subjective visual quality. Statistically, good visual quality of region-of-interest (ROI) could always improve the overall subjective quality of the video. In this case, a novel rate control scheme with ROI concern is proposed in this paper. For extracting ROI exactly, a simple and efficient approach is also introduced here. By adaptively adjusting the QP value, relatively more bits are allocated to region-of-interest to enhance the visual quality of ROI based on the image complexity, which we use the direct MAD to evaluate primarily. Compared with the rate control scheme JVT-G012 in the latest JVT H.264/AVC reference model JM11.0, the proposed rate control scheme improves the overall subjective visual quality significantly. ©2008 The Institution of Engineering and technology.

关键词： Quality control

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