An Optimal Codebook for Content-Based Image Retrieval in JPEG Compressed Domain
Sign Up to like & getrecommendations! Published in 2019 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-019-03880-0
Abstract: Images in JPEG compressed domain have a widespread use and computationally efficient retrieval of those images is of prime concern. In this paper, a content-based image retrieval system in JPEG compressed domain is presented, which… read more here.
Keywords: retrieval; jpeg compressed; compressed domain; image retrieval ... See more keywords
Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-01905-z
Abstract: Automatic pattern recognition using deep learning techniques has become increasingly important. Unfortunately, due to limited system memory, general preprocessing methods for high-resolution images in the spatial domain can lose important data information such as high-frequency… read more here.
Keywords: region interest; compressed domain; segmentation; deep learning ... See more keywords
Real-Time Online Multi-Object Tracking in Compressed Domain
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921975
Abstract: Recent online multi-object tracking (MOT) methods have achieved desirable tracking performance. However, the tracking speed of most existing methods is rather slow. Inspired from the fact that the adjacent frames are highly relevant and redundant,… read more here.
Keywords: online multi; compressed domain; object tracking; online ... See more keywords
Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2017.2761992
Abstract: Counting on-road vehicles in the highway is fundamental for intelligent transportation management. This paper presents the first highway vehicle counting method in compressed domain, aiming at achieving comparable estimation performance with the pixel-domain methods. Counting… read more here.
Keywords: compressed domain; vehicle counting; highway vehicle; regression ... See more keywords
Multiresolution Volume Filtering in the Tensor Compressed Domain
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2017.2771282
Abstract: Signal processing and filter operations are important tools for visual data processing and analysis. Due to GPU memory and bandwidth limitations, it is challenging to apply complex filter operators to large-scale volume data interactively. We… read more here.
Keywords: volume filtering; volume; compressed domain; tensor ... See more keywords