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Video Streaming Quality of Experience (QoE): In-network Cache Prefetching and Moving QoE Models
(2021)
Video streaming accounts for a significant amount of traffic on the Internet. Users expect a high quality of experience with online video streaming. Service and content providers desire to provide a satisfying experience for end users. Therefore...
Deep learning-based artifacts removal in video compression
(2021)
The block-based coding structure in the hybrid video coding framework inevitably introduces compression artifacts such as blocking, ringing, etc. To compensate for those artifacts, extensive filtering techniques were proposed in the loop of video...
Application-Aware Network Design Using Software Defined Networking for Application Performance Optimization for Big Data and Video Streaming
(University of Missouri--Kansas City, 2017)
This dissertation investigates improvement in application performance. For applications, we consider two classes: Hadoop MapReduce and video streaming. The Hadoop
MapReduce (M/R) framework has become the de facto standard ...
Compression for Machine Vision and Beyond
(2020)
Compression has been one of the most fundamental and elusive challenges in both academia and industry. With the sheer increase of high-definition video content over the internet, developing improved compression algorithms becomes an urgent necessity...
A Pervasive Middleware for Activity Recognition with Smartphones
(2015)
Activity Recognition (AR) is an important research topic in pervasive computing. With the rapid increase in the use of pervasive devices, huge sensor data is generated from diverse devices on a daily basis. Analysis of the ...
Active Mobile Interface for smart health
(2013)
Computer interfaces are rapidly evolving beyond the traditional keyboard-mouse-monitor triad. The widespread availability of touch screens and voice recognition software has made it possible to execute commands in many ...
AudioCNN: Audio Event Classification With Deep Learning Based Multi-Channel Fusion Networks
(2020)
In recent years, there is growing interest in environmental sound classification with a plethora of real-world applications, especially in audio fields like speech and music. Recent research works have proven spectral ...