• Automated video processing and scene understanding for intelligent video surveillance 

    Chung, Yu-Chia, 1979- (University of Missouri--Columbia, 2010)
    Recent advances in key technologies have enabled the deployment of surveillance video cameras on various platforms. There is an urgent need to develop advanced computational methods and tools for automated video processing ...
  • Distributed resource allocation and performance optimization for video communication over mesh networks based on swarm intelligence 

    Wang, Bo, 1978- (University of Missouri--Columbia, 2007)
    Mesh networking technologies allow a system of communication devices to communicate with each other over a dynamic and self-organizing wired or wireless network from everywhere at anytime. Large-scale mesh communication ...
  • Efficient H.264 video coding with a working memory of objects 

    Dai, Wenqing, 1984- (University of Missouri--Columbia, 2009)
    Efficient spatiotemporal prediction to remove the source redundancy is critical in video coding. The newest international standard H.264 video coding introduces several advanced features, such as multiple-frame motion ...
  • Embedded system design and power-rate-distortion optimization for video encoding under energy constraints 

    Cheng, Wenye (University of Missouri--Columbia, 2007)
    The portable devices used in video communication application are powered by batteries. Video encoding schemes, however, are often computationally intensive and energy-demanding, even after being fully optimized with existing ...
  • Frame interpolation in H.264 

    Sharma, Durgesh, 1983- (University of Missouri-Columbia, 2010)
    In video transmission over low-bandwidth networks, videos are often encoded at low frame rates. At the decoder side, frame interpolation is often performed to reconstruct the skipped frames to improve the temporal smoothness ...
  • Object Detection and Classification using Shape Feature 

    Huang, Chen (Computer engineer) (University of Missouri--Columbia[University of Missouri--Columbia], 2014)
    We develop a set of methods to represent and detect shapes in images. We first develop new shape descriptors that are robust to deformation while being able to capture part details. In our framework, the shape descriptor ...
  • Optimal video sensing strategy and performance analysis for wireless video sensors under delay constraints 

    Deshpande, Milind Umesh (University of Missouri--Columbia, 2005)
    A wireless sensor network (WSN) is a system of spatially distributed sensors that capture, process and transmit information over a mobile wireless ad-hoc network. In wireless video sensor network (WVSN), each sensor, ...
  • Pedestrian detection and counting in surveillance videos 

    Wu, Di (University of Missouri--Columbia, 2013)
    Pedestrian detection and counting have important application in video surveillance for entrance monitoring, customer behavior analysis, and public service management. In this thesis, we propose an accurate, reliable and ...
  • Resource-efficient portable video communication system design for wildlife monitoring and interaction tracking 

    Zhao, Xiwen (University of Missouri--Columbia, 2011)
    In this research, we focus on algorithm development and system design for resource-efficient portable video communication system design and their application in wildlife monitoring and interaction tracking. The capability ...
  • Robust motion estimation techniques 

    Jaganathan, Venkata Krishnan (University of Missouri--Columbia, 2007)
    Motion estimation is a very important step in many video processing tasks, including video compression, object tracking, and etc. A video may experience both global motion and local object motion. Global motion includes ...
  • Significance-linked Connected Component Analysis Plus with new DOR and context model 

    Jiang, Xiaobo (University of Missouri--Columbia, 2011)
    In this thesis, a new efficient wavelet image coding algorithm Significance-Linked Connected Component Analysis Plus (SLCCA+) is introduced. SLCCA+ has a new data organization and representation (DOR) which is developed ...
  • Significance-linked connected component analysis+ for wavelet image coding 

    Zhang, Cheng, 1985- (University of Missouri-Columbia, 2010)
    The Significance-Linked Connected Component Analysis+ (SLCCA+) is a efficient wavelet image coding algorithm that extends SLCCA by using new data organization and representation (DOR) and SLCCA+ use a definition of context ...
  • Transmission distortion modeling for wireless video communication 

    Dani, Janak (University of Missouri--Columbia, 2005)
    A major challenge in video wireless communication is that the channel is time-varying and error-prone. The lost video packet and the packet received with errors, due to the error-prone wireless network, will cause signal ...
  • Vehicle license plate detection and recognition 

    Ning, Guanghan (University of Missouri--Columbia, 2013)
    In this work, we develop a license plate detection method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) features. The system performs window searching at different scales and ...
  • Vehicle license plate detection and recognition 

    Li, Xin, 1984- (University of Missouri--Columbia, 2010)
    In this work, we develop a license plate detection and recognition method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) features. The system performs window searching at different ...