Results 31 to 40 of about 140,722 (291)
Learning to compress images and videos [PDF]
Proceedings of the 24th international conference on Machine learning, 2007 We present an intuitive scheme for lossy color-image compression: Use the color information from a few representative pixels to learn a model which predicts color on the rest of the pixels. Now, storing the representative pixels and the image in grayscale suffice to recover the original image. A similar scheme is also applicable for compressing videos,
Cheng , Li, Vishwanathan, S
openaire +2 more sources
Arthritis Care &Research, Accepted Article.Purpose The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögrens International Collaborative Clinical Alliance (SICCA) cohort. Methods Retrospective analysis examining 16 ocular symptoms (most graded 0‐4) and artificial tear (AT) use (graded 0‐3) as predictors of DED signs [abnormal ocular surface staining ...
Pragnya R Donthineni +7 more
wiley +1 more source
Neural network based image and video coding technologies
Dianxin kexue, 2019 Deep neural networks have achieved tremendous success in artificial intelligence,which makes the broad and in-depth research of neural network resurge in recent years.Recently,the neural network based image and video coding has become one of the front ...
Chuanmin JIA +3 more
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Journal of Electrical Systems and Information Technology, 2022 Video surveillance systems are essential as other application domain. Handling efficient and reliable for underground projects as well surveillance image is so significant to ensure security and safety.
Mayada Khairy, Rasha M. Al-Makhlasawy
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Advanced Engineering Materials, EarlyView.High‐frequency (HF) welding of steel is limited by oxide inclusions that degrade weld quality. This study demonstrates, for the first time, the integration of a nonthermal Ar/H2 dielectric barrier discharge (DBD) plasma jet into HF welding. Local plasma treatment provides effective shielding and in‐situ oxide reduction, resulting in markedly fewer and ...
Viktor Udachin +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This study reports lightweight polyetherimide triply periodic minimal surfaces lattices coated with carbon nanotube‐reinforced epoxy that combine mechanical robustness with self‐sensing. The conformal coating enhances stiffness, strength and energy absorption while enabling reliable strain monitoring.
A. Triay +3 more
wiley +1 more source
A Novel Video Compression Approach Based on Two-Stage Learning
EntropyIn recent years, the rapid growth of video data posed challenges for storage and transmission. Video compression techniques provided a viable solution to this problem.
Dan Shao +4 more
doaj +1 more source
Focal-plane change triggered video compression for low-power vision sensor systems. [PDF]
PLoS ONE, 2009 Video sensors with embedded compression offer significant energy savings in transmission but incur energy losses in the complexity of the encoder. Energy efficient video compression architectures for CMOS image sensors with focal-plane change detection ...
Yu M Chi +2 more
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Screen Content Image Segmentation Using Sparse-Smooth Decomposition
, 2015 Sparse decomposition has been extensively used for different applications including signal compression and denoising and document analysis. In this paper, sparse decomposition is used for image segmentation.
Abdolrashidi, Amirali +2 more
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Performance Analysis of Set Partitioning in Hierarchical Trees (spiht) Algorithm for a Family of Wavelets Used in Color Image Compression [PDF]
, 2014 With the spurt in the amount of data (Image, video, audio, speech, & text) available on the net, there is a huge demand for memory & bandwidth savings. One has to achieve this, by maintaining the quality & fidelity of the data acceptable to the end user.
Mamatha, Y.A. +2 more
core +1 more source