Shipeng Li mostly deals with Artificial intelligence, Computer vision, Motion compensation, Multimedia and Scalable Video Coding. Artificial intelligence connects with themes related to Pattern recognition in his study. Shipeng Li has included themes like Reference frame and Sub-band coding in his Computer vision study.
His work deals with themes such as Motion estimation, Frame rate, Computer graphics and Block-matching algorithm, which intersect with Motion compensation. His Multimedia study combines topics from a wide range of disciplines, such as Service, The Internet, World Wide Web, Peer-to-peer and Smacker video. His studies in Scalable Video Coding integrate themes in fields like Multiview Video Coding, Bitstream, Coding tree unit and Real-time computing.
His primary scientific interests are in Artificial intelligence, Computer vision, Motion compensation, Algorithm and Multimedia. As a member of one scientific family, Shipeng Li mostly works in the field of Artificial intelligence, focusing on Pattern recognition and, on occasion, Machine learning. His study in Computer vision is interdisciplinary in nature, drawing from both Encoder and Coding tree unit.
The Motion compensation study combines topics in areas such as Macroblock, Rate–distortion optimization, Block-matching algorithm and Transform coding. The various areas that Shipeng Li examines in his Multimedia study include The Internet, World Wide Web and Mobile device. His Multiview Video Coding research includes themes of Scalable Video Coding and Video compression picture types.
Shipeng Li mainly investigates Artificial intelligence, Computer vision, Image retrieval, Information retrieval and Algorithm. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His Computer vision research includes elements of Codec and Encoder.
The study incorporates disciplines such as Visualization, Feature extraction and Cluster analysis in addition to Image retrieval. His Information retrieval course of study focuses on Visual search and Session, Mobile computing, User interface, Web page and User experience design. His Algorithm research incorporates elements of Most significant bit, Nearest neighbor search, k-means clustering and Algorithmic efficiency.
Artificial intelligence, Computer vision, Multimedia, Machine learning and Theoretical computer science are his primary areas of study. His biological study spans a wide range of topics, including Location-based service and Pattern recognition. His work focuses on many connections between Pattern recognition and other disciplines, such as Object detection, that overlap with his field of interest in Feature.
His Process research extends to the thematically linked field of Computer vision. His Multimedia research incorporates themes from Transfer of learning, Social media and Mobile computing. His research in Theoretical computer science intersects with topics in k-means clustering, Cluster analysis, k-nearest neighbors algorithm, Graph and Nearest neighbor search.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Salient Object Detection: A Discriminative Regional Feature Integration Approach
Huaizu Jiang;Jingdong Wang;Zejian Yuan;Yang Wu.
computer vision and pattern recognition (2013)
Multimedia Cloud Computing
Wenwu Zhu;Chong Luo;Jianfeng Wang;Shipeng Li.
IEEE Signal Processing Magazine (2011)
A framework for efficient progressive fine granularity scalable video coding
Feng Wu;Shipeng Li;Ya-Qin Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (2001)
Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding
Shipeng Li;Weiping Li.
IEEE Transactions on Circuits and Systems for Video Technology (2000)
Dynamic search with implicit user intention mining
Guo Bin Shen;Shipeng Li.
(2005)
Adaptive Directional Lifting-Based Wavelet Transform for Image Coding
Wenpeng Ding;Feng Wu;Xiaolin Wu;Shipeng Li.
IEEE Transactions on Image Processing (2007)
Video coding methods and apparatuses
Alexandros Tourapis;Feng Wu;Shipeng Li.
(2002)
Descriptive visual words and visual phrases for image applications
Shiliang Zhang;Qi Tian;Gang Hua;Qingming Huang.
acm multimedia (2009)
Interactive virtual display system for ubiquitous devices
Yan Lu;Wen Sun;Shipeng Li.
(2011)
Three-Dimensional Embedded Subband Coding with Optimized Truncation (3-D ESCOT)
Jizheng Xu;Zixiang Xiong;Shipeng Li;Ya-Qin Zhang.
Applied and Computational Harmonic Analysis (2001)
Profile was last updated on December 6th, 2021.
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University of Science and Technology of China
Jingdong (China)
Microsoft (United States)
Microsoft Research Asia (China)
Microsoft (United States)
Tsinghua University
Microsoft (United States)
Zepp Labs
University of Science and Technology of China
Peking University
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