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Now showing items 201-210 of 381
A Fast Constant-Time Approximation for Locally Adaptive Bilateral Filtering
Smoothing is a fundamental task in low-level image processing that is used to suppress irrelevant
details while preserving salient image structures. The simplest smoothing mechanism is
to average neighboring pixels using ...
Differential Encoding for Real-Time Status Updates
We consider the problem of status updates of a physical process over an unreliable channel. In
this setting, one may not be able to reliably transmit the current state at all times. Instead, one
is interested in the ...
Spatio-temporal Memories: Theory and Algorithms
This thesis is primarily focused on building a systematic theory for spatio-temporal memories based on unsupervised learning and exploring its applications. Also, contributions are made in the area of supervised learning ...
Algorithms for Processing RGBD Images and Videos for Depth-Based 3D Video Systems
In recent times, immersive visual media such as Virtual Reality (VR), Augmented Reality (AR),
3DTV and Free Viewpoint Television (FTV) have garnered tremendous interest. Immersive
visual media content typically provides ...
On Streaming Codes, Regenerating Codes and Locality-Aided Decoding
This thesis presents results relating to the application of error-correcting codes with different
aims and in different settings; to achieve low-latency communication, to improve
decoding performance and to enable the ...
Tactile Cyber-Physical Systems: A Testbed, A Performance Metric and Network Resource Allocation Protocols
Tactile Cyber-Physical Systems (TCPS) use haptic, audio and video modalities to facilitate humans to perform real-time physical interaction of remote objects over ultra-low latency and ultra-reliable networks referred to ...
A Method of Designing an Intelligent Public Transportation System in Metropolitan Area Using Emergent Intelligence
Metropolitan area consists of huge population density, one or more urban areas, satellite cities,
rural areas and towns. It highly concentrates economic activities to attract people from rural areas
and is a complex ...
Linear Dynamical Systems with Sparsity Constraints: Theory and Algorithms
This thesis develops new mathematical theory and presents novel recovery algorithms
for discrete linear dynamical systems (LDS) with sparsity constraints on either control
inputs or initial state. The recovery problems ...
Sampling of Structured Signals: Techniques and Imaging Applications
The celebrated Shannon sampling theorem is a key mathematical tool that allows one to seamlessly switch between the continuous-time and discrete-time representations of bandlimited signals. Sampling and reconstruction of ...
Designing Authentication and Privacy Schemes for Ubiquitous Services
Ubiquitous services in ubiquitous environments provide personalized and adaptive services to a user anytime anywhere, by considering the context information such as profile information and history of the users. Ubiquitous ...