李厚强
主要研究方向为图象处理、视频编码与通信、计算机视觉、计算机图形学等。
个性化签名
- 姓名:李厚强
- 目前身份:
- 担任导师情况:
- 学位:
-
学术头衔:
博士生导师, 教育部“新世纪优秀人才支持计划”入选者
- 职称:-
-
学科领域:
发酵工程
- 研究兴趣:主要研究方向为图象处理、视频编码与通信、计算机视觉、计算机图形学等。
李厚强博士,中国科学技术大学电子工程与信息科学系教授,入选教育部“新世纪优秀人才培养计划”。主要研究方向为图象处理、视频编码与通信、计算机视觉、计算机图形学等。他领导的课题组积极参与ISO/MPEG及ITU等国际标准化组织和中国数字音视频编解码技术标准工作组(AVS)的活动,现有多项提案被MPEG/JVT和AVS接受。他作为负责人承担了多项国家自然科学基金重点项目、面上项目,国家863计划项目;作为负责人,承担了多项与Nokia公司有关视频编码的国际合作项目;作为负责人,还承担了与微软亚洲研究院、华为公司的合作项目。他目前是IEEE Transactions on Circuits and Systems for Video Technology、IEEE Journal on Selected Areas in Communications, IEEE Transactions on Systems, Man, and Cybernetics等国际学术期刊,以及The International Conference on Image Processing (ICIP), IEEE International Symposium on Circuits and Systems(ISCAS), IEEE International Conference on Multimedia & Expo (ICME), Visual Communication and Image Processing(VCIP)等国际学术会议的审稿人。他在IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, IEEE Trans. on Circuit and System I, International Journal of Pattern Recognition and Artificial Intelligence等国际著名期刊,以及ICIP、ICME、VCIP等国际重要会议上发表视频编码与通信、图像处理等领域的论文40余篇。
-
主页访问
1219
-
关注数
0
-
成果阅读
782
-
成果数
20
【期刊论文】LOW-COMPLEXITY ASYMMETRIC MULTIVIEW VIDEO CODING
李厚强, Ying Chen, Shujie Liu, Ye-Kui Wang, Miska M. Hannuksela, Houqiang Li, Moncef Gabbouj
,-0001,():
-1年11月30日
Multiview video coding (MVC) is currently under development by the Joint Video Team (JVT) as an extension to Advanced Video Coding (H264/AVC). Based on the suppression theory in binocular vision, the fidelity of one of the two views of a stereoscopic display can be reduced without noticeable degradation of subjective quality. Thus, in MVC, a subset of views can be coded with lower spatial resolution at negligible cost to subjective quality. Due to different resolutions, a downsampling process is required in an MVC decoder in order to enable motion compensation (MC) between views. In this paper, a low-complexity MC algorithm is proposed for MVC to enable inter-view prediction between pictures with different resolutions. It requires lower memory consumption and lower computational complexity compared with the conventional downsampled inter-view prediction, while providing comparable efficiency, as shown by the simulation results.
Multiview video coding,, asymmetric coding,, motion compensation,, decoded picture buffer
-
38浏览
-
0点赞
-
0收藏
-
0分享
-
104下载
-
0评论
-
引用
【期刊论文】Frame Loss Error Concealment For Multiview Video Coding
李厚强, Shujie Liu, Ying Chen, Ye-Kui Wang, Moncef Gabbouj, Miska M. Hannuksela, Houqiang Li
,-0001,():
-1年11月30日
The Multiview Video Coding (MVC) standard is currently under development by the Joint Video Team as an extension of the Advanced Video Coding (H.264/AVC) standard. An MVC encoder compresses more than one viewpoint of a scene captured by different cameras. Redundancies between views can be used for inter-view prediction in encoding as well as error concealment in decoding. In this paper, a new algorithm utilizing motion information of pictures from other views to conceal a lost picture is proposed. The algorithm first derives motion information for a lost picture based on motion fields of pictures in adjacent views. Then, traditional motion compensation is invoked within the view containing the lost picture to derive a concealed frame. Experimental results show that the proposed algorithm can improve video quality with a negligible computational complexity overhead compared to simple temporal error concealment algorithms.
-
73浏览
-
0点赞
-
0收藏
-
0分享
-
111下载
-
0评论
-
引用
【期刊论文】VIDEO CODING WITH SPATIO-TEMPORAL TEXTURE SYNTHESIS AND EDGE-BASED INPAINTING
李厚强, Chunbo Zhu, Xiaoyan Sun, Feng Wu, and Houqiang Li
,-0001,():
-1年11月30日
This paper proposes a video coding scheme, in which textural and structural regions are selectively removed in the encoder, and restored in the decoder by spatio-temporal texture synthesis and edge-based inpainting. In the proposed scheme, two types of regions are classified based on two motion models: local motion and global motion. In local motion regions, conventional blockbased motion estimation is employed for region removal and spatio-temporal texture synthesis is applied for recovery of the removed regions. In global motion regions, edge-based image inpainting is utilized to recover removed regions, and sprite generation is used as an auxiliary tool to keep temporal consistency. In the proposed scheme, both structures and textures are handled and some kinds of assistant information which can guide restoration are extracted and coded. This approach is blockbased and thus is flexible and generic to be implemented into standard-compliant video coding schemes. It has been implemented into H.264/AVC and achieves up to 35% bitrate saving at similar visual quality levels compared with H.264/AVC without our approach.
Video coding,, texture synthesis,, inpainting,, region removal,, exemplar selection
-
74浏览
-
0点赞
-
0收藏
-
0分享
-
97下载
-
0评论
-
引用
【期刊论文】Distributed Image Coding Based on Integrated Markov Random Field Modeling and LDPC Decoding
李厚强, Jinrong Zhang, Houqiang Li, Chang Wen Chen
,-0001,():
-1年11月30日
We present in this paper a novel distributed image coding scheme by exploiting image spatial correlation via Markov random field modeling at the decoding end. This allows us to design a simple yet efficient encoder suitable for various energy efficient imaging sensor network applications. The novelty is the integration of LDPC decoding and Markov random field modeling in order to jointly exploit both interimage and intra-image correlation. The current research aims at improving our previous work in which the Markov model was defined by a state transition probability matrix. In this research, we model the image via a Markov random field described by Gibbs distribution. Both analysis and simulations have been carried out to demonstrate that this Markov model-based approach is able to achieve significant gains over the schemes without Markov modeling. Furthermore, this new Gibbs-based Markov model is less sensitive to correlated noise. Our approach also outperforms a JPEG codec by up to 4 dB even if the interimage correlation is not very high.
-
36浏览
-
0点赞
-
0收藏
-
0分享
-
122下载
-
0评论
-
引用
【期刊论文】Error Resilient Transcoding of Scalable Video Bitstreams
李厚强, Yi Guo #, Houqiang Li #, Ye-Kui Wang *, Chang Wen Chen#
,-0001,():
-1年11月30日
We propose in this paper a novel error resilient transcoding scheme that can be placed at the boundary between wired and wireless networks via heterogeneous network links. This error resilient transcoder shall seamlessly complement the standard Scalable Video Coding (SVC) bitstream to offer additional error resilient adaptation capability for receiving devices. The novel error resilient transcoding scheme consists of three different modules; each is designed to meet various levels of complexity need. The three modules are all based on the Loss-Aware Rate-Distortion Optimization (LA-RDO) mode decision algorithm we have previously developed for SVC. However, each individual module can be tailored to different complexity requirements depending on whether and how the LA-RDO mode decision is implemented. Another innovation of this approach is the design of a fast rate control algorithm in order to maintain consistent bitrates between input and output of the transcoder. This rate control algorithm only needs picture-level bit information for training target quantization parameters. Simulation results demonstrate that, comparing with standard SVC, the proposed approach is able to achieve up to 4 dB gain for the enhancement layer video and up to 1 dB gain for the base layer video.
-
81浏览
-
0点赞
-
0收藏
-
0分享
-
98下载
-
0评论
-
引用
【期刊论文】A Comparison between SVC and Transcoding
李厚强, Hui Liu, Ye-Kui Wang, and Houqiang Li
H. Liu et al.: A Comparison between SVC and Transcoding Manuscript received July 14, 2008,-0001,():
-1年11月30日
This paper presents a comparison between the scalable extension of H.264/AVC (SVC) and transcoding, in terms of Rate-Distortion(RD) performance and computational complexity. Both bitrate and spatial resolution reduction cases are included. Simulation results show that, in the aspect of RD performance, SVC performs significantly better in bitrate reduction and slightly better in spatial resolution reduction. Meanwhile, SVC adaptation through bitstream extraction has negligible complexity compared with transcoding1.
SVC,, transcoding,, comparison,, Rate-Distortion (, RD), performance,, computational complexity.,
-
32浏览
-
0点赞
-
0收藏
-
0分享
-
98下载
-
0评论
-
引用
【期刊论文】Error Resilient Coding and Error Concealment in Scalable Video Coding
李厚强, Yi Guo, Ying Chen, Member, IEEE, Ye-Kui Wang, Houqiang Li, Miska M. Hannuksela, and Moncef Gabbouj, Senior Member
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL.19, NO.6, JUNE 2009,-0001,():
-1年11月30日
Scalable video coding (SVC), which is the scalable extension of the H.264/AVC standard, was developed by the Joint Video Team (JVT) of ISO/IEC MPEG (Moving Picture Experts Group) and ITU-T VCEG (Video Coding Experts Group). SVC is designed to provide adaptation capability for heterogeneous network structures and different receiving devices with the help of temporal, spatial, and quality scalabilities. It is challenging to achieve graceful quality degradation in an error-prone environment, since channel errors can drastically deteriorate the quality of the video. Error resilient coding and error concealment techniques have been introduced into SVC to reduce the quality degradation impact of transmission errors. Some of the techniques are inherited from or applicable also to H.264/AVC, while some of them take advantage of the SVC coding structure and coding tools. In this paper, the error resilient coding and error concealment tools in SVC are first reviewed. Then, several important tools such as loss-aware rate-distortion optimized macroblock mode decision algorithm and error concealment methods in SVC are discussed and experimental results are provided to show the benefits from them. The results demonstrate that PSNR gains can be achieved for the conventional inter prediction (IPPP) coding structure or the hierarchical bi-predictive (B) picture coding structure with large group of pictures size, for all the tested sequences and under various combinations of packet loss rates, compared with the basic Joint Scalable Video Model (JSVM) design applying no error resilient tools at the encoder and only picture copy error concealment method at the decoder.
Error concealment,, error resilient coding,, H., 264/, AVC,, SVC.,
-
52浏览
-
0点赞
-
0收藏
-
0分享
-
83下载
-
0评论
-
引用
【期刊论文】Error Resilient Video Coding Using Redundant Pictures
李厚强, Chunbo Zhu, Ye-Kui Wang, Member, IEEE, Miska M. Hannuksela, and Houqiang Li
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL.19, NO.1, JANUARY 2009,-0001,():
-1年11月30日
This paper presents several error resilient video coding methods based on redundant pictures. We combine redundant picture coding with reference picture selection and reference picture list reordering to prevent error propagation in motion compensated video coding. A hierarchical redundant picture allocation method is employed to make a tradeoff between error resilience and coding efficiency. For improved end-to-end rate-distortion performance in packet loss environment, three adaptive redundant picture allocation methods are further developed, utilizing characteristics of the input video content. Simulation results show that the adaptive redundant picture coding methods can achieve average luma peak-signal-to-noise improvements up to 3.5 dB compared to the loss-aware rate distortion optimized intra macroblock refresh algorithm implemented in the H.264/AVC Joint Model (JM). The proposed redundant picture coding methods are standard-compliant and do not introduce any additional end-to-end delay, therefore suit for low-delay applications such as video telephony and video conferencing. Due to the good error resilience performance, some of the proposed redundant picture coding methods have been adopted and integrated into the JM.
Error control coding,, error resilience,, redundant picture,, video coding.,
-
48浏览
-
0点赞
-
0收藏
-
0分享
-
89下载
-
0评论
-
引用
李厚强, Yan Chen, Student Member, IEEE, Yang Hu, Oscar C. Au, Senior Member, Houqiang Li, and Chang Wen Chen, Fellow
IEEE TRANSACTIONS ON MULTIMEDIA, VOL.10, NO.1, JANUARY 2008,-0001,():
-1年11月30日
Error concealment techniques are very important for video communication since compressed video sequences may be corrupted or lost when transmitted over error-prone networks. In this paper, we propose a novel two-stage error concealment scheme for erroneously received video sequences. In the first stage, we propose a novel spatio-temporal boundary matching algorithm (STBMA) to reconstruct the lost motion vectors (MV). A well defined cost function is introduced which exploits both spatial and temporal smoothness properties of video signals. By minimizing the cost function, the MV of each lost macroblock (MB) is recovered and the corresponding reference MB in the reference frame is obtained using this MV. In the second stage, instead of directly copying the reference MB as the final recovered pixel values, we use a novel partial differential equation (PDE) based algorithm to refine the reconstruction.We minimize, in a weighted manner, the difference between the gradient field of the reconstructed MB in current frame and that of the reference MB in the reference frame under given boundary condition. A weighting factor is used to control the regulation level according to the local blockiness degree. With this algorithm, the annoying blocking artifacts are effectively reduced while the structures of the referenceMBare well preserved. Compared with the error concealment feature implemented in the H.264 reference software, our algorithm is able to achieve significantly higher PSNR as well as better visual quality.
Error concealment,, H., 264,, motion compensation,, partial differential equation.,
-
36浏览
-
0点赞
-
0收藏
-
0分享
-
100下载
-
0评论
-
引用
【期刊论文】ADAPTIVE REDUNDANT PICTURE FOR ERROR RESILIENT VIDEO CODING
李厚强, Chunbo Zhu, Ye-Kui Wang, and Houqiang Li
,-0001,():
-1年11月30日
We present several efficient adaptive redundant picture coding methods for error resilient video coding. In our previous work, redundant picture coding in combining with reference picture selection, reference picture list reordering and hierarchical redundant picture allocation was proposed. This paper investigates how to allocate redundant pictures more efficiently according to the content characteristics of the primary pictures. Simulation results show that the adaptive redundant picture coding methods can achieve average PSNR improvements around 2 to 4 dB compared to the loss-aware rate distortion optimized (LA-RDO) intra macroblock refresh implemented in H.264/AVC Joint Model (JM). This paper also asserts that the methods do not introduce any additional end-to-end delay, therefore suit for low-delay applications such as video telephony and video conferencing, which demand better error resilience than other applications.
video coding,, error resilience,, redundant picture,, rate distortion optimization
-
43浏览
-
0点赞
-
0收藏
-
0分享
-
48下载
-
0评论
-
引用