8 citations · 15 across the 5 of their papers we have counts for
6 papers
Efficient Motion Modelling with Variable-sized blocks from Hierarchical Cuboidal Partitioning
Priyabrata Karmakar, Manzur Murshed, Manoranjan Paul +1
Motion modelling with block-based architecture has been widely used in video coding where a frame is divided into fixed-sized blocks that are motion compensated independently. This…
Welsch Based Multiview Disparity Estimation
James L. Gray, Aous T. Naman, David S. Taubman
In this work, we explore disparity estimation from a high number of views. We experimentally identify occlusions as a key challenge for disparity estimation for applications with h…
Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
Ashek Ahmmed, Manoranjan Paul, Manzur Murshed +1
Video coding algorithms encode and decode an entire video frame while feature coding techniques only preserve and communicate the most critical information needed for a given appli…
Transform Quantization for CNN (Convolutional Neural Network) Compression
Sean I. Young, Wang Zhe, David Taubman +1
In this paper, we compress convolutional neural network (CNN) weights post-training via transform quantization. Previous CNN quantization techniques tend to ignore the joint statis…
Astronomical Imagery: Considerations For a Contemporary Approach with JPEG2000
Vyacheslav V. Kitaeff, Andrew Cannon, Andreas Wicenec +1
The new wide-field radio telescopes, such as: ASKAP, MWA, LOFAR, eVLA and SKA; will produce spectral-imaging data-cubes (SIDC) of unprecedented size -- in the order of hundreds of…
Extremely Large Images: Considerations for Contemporary Approach
Slava Kitaeff, Andreas Wicenec, Chen Wu +1
The new widefield radio telescopes, such as: ASKAP,MWA, LOFAR, eVLA and SKA; will produce spectral-imaging data-cubes (SIDC) of unprecedented volumes in the order of hundreds of Pe…