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Transmission distortion modeling for wireless video communication
(University of Missouri--Columbia, 2005)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] 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 ...
Optimal video sensing strategy and performance analysis for wireless video sensors under delay constraints
(University of Missouri--Columbia, 2005)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] A wireless sensor network (WSN) is a system of spatially distributed sensors that capture, process and transmit information over a mobile wireless ...
Efficient H.264 video coding with a working memory of objects
(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 ...
Distributed resource allocation and performance optimization for video communication over mesh networks based on swarm intelligence
(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 ...
Embedded system design and power-rate-distortion optimization for video encoding under energy constraints
(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 ...
Robust motion estimation techniques
(University of Missouri--Columbia, 2007)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Motion estimation is a very important step in many video processing tasks, including video compression, object tracking, and etc. A video may experience ...
Automated video processing and scene understanding for intelligent video surveillance
(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 ...
Vehicle license plate detection and recognition
(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 ...
Ensemble video object cut in highly dynamic scenes
(University of Missouri--Columbia, 2014)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] We consider video object cut as an ensemble of framelevel background-foreground object classifiers which fuses information across frames and refine ...
Vehicle license plate detection and recognition
(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 ...
Robust person tracking in indoor environments
(University of Missouri--Columbia, 2014)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.]
Person re-identification with pairwise learning and ranking
(University of Missouri--Columbia, 2014)
Object detection and classification using shape feature
(University of Missouri--Columbia, 2014)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] 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 ...
Pedestrian detection and counting in surveillance videos
(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 ...
Significance-linked Connected Component Analysis Plus with new DOR and context model
(University of Missouri--Columbia, 2011)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In this thesis, a new efficient wavelet image coding algorithm Significance-Linked Connected Component Analysis Plus (SLCCA+) is introduced. SLCCA+ ...
Fast and reliable hand action recognition
(University of Missouri--Columbia, 2014)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] In this work, we develop a hand action recognition method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) ...
Significance-linked connected component analysis+ for wavelet image coding
(University of Missouri--Columbia, 2010)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The Significance-Linked Connected Component Analysis+ (SLCCA+) is a efficient wavelet image coding algorithm that extends SLCCA by using new data ...
Frame interpolation in H.264
(University of Missouri--Columbia, 2010)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In video transmission over low-bandwidth networks, videos are often encoded at low frame rates. At the decoder side, frame interpolation is often ...
Resource-efficient portable video communication system design for wildlife monitoring and interaction tracking
(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 ...
Performance analysis of mix-kernel convolutional neural network
(University of Missouri--Columbia, 2016)
Deep convolutional neural networks (DCNN) have achieved the state-of-the-art performance in a number of computer vision tasks in recent years, including object detection, classification and recognition. The DCNN is very ...