8 citations · 13 across the 7 of their papers we have counts for
7 papers
Transform and Bitstream Domain Image Classification
P. R. Hill, D. R. Bull
Classification of images within the compressed domain offers significant benefits. These benefits include reduced memory and computational requirements of a classification system.…
Semantic Image Fusion
P. R. Hill, D. R. Bull
Image fusion methods and metrics for their evaluation have conventionally used pixel-based or low-level features. However, for many applications, the aim of image fusion is to effe…
Unsupervised Image Fusion Using Deep Image Priors
Xudong Ma, Paul Hill, Nantheera Anantrasirichai +1
A significant number of researchers have applied deep learning methods to image fusion. However, most works require a large amount of training data or depend on pre-trained models…
Encoding in the Dark Grand Challenge: An Overview
Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina +2
A big part of the video content we consume from video providers consists of genres featuring low-light aesthetics. Low light sequences have special characteristics, such as spatio-…
HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Harmful Algal Blooms
P. R. Hill, A. Kumar, M. Temimi +1
This paper describes the application of machine learning techniques to develop a state-of-the-art detection and prediction system for spatiotemporal events found within remote sens…
Detecting Volcano Deformation in InSAR using Deep learning
N. Anantrasirichai, F. Albino, P. Hill +2
Globally 800 million people live within 100 km of a volcano and currently 1500 volcanoes are considered active, but half of these have no ground-based monitoring. Alternatively, sa…
Energy Efficient Video Fusion with Heterogeneous CPU-FPGA Devices
Jose Nunez-Yanez, Tom Sun
This paper presents a complete video fusion system with hardware acceleration and investigates the energy trade-offs between computing in the CPU or the FPGA device. The video fusi…