Results 31 to 40 of about 37,679 (255)
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
doaj +2 more sources
A pixel pair–based encoding pattern for stereo matching via an adaptively weighted cost
IET Image Processing, 2021 Stereo matching, which is a key problem in computer vision, faces the challenge of radiometric distortions. Most of the existing stereo matching methods are based on simple matching cost algorithms and appear the problem of mismatch under radiometric ...
Yuli Fu +3 more
doaj +1 more source
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
International Journal of Interactive Multimedia and Artificial Intelligence, 2017 The major challenge with fractal image/video coding technique is that, it requires more encoding time. Therefore, how to reduce the encoding time is the research component remains in the fractal coding.
Shailesh Kamble +2 more
doaj +1 more source
IEEE Access, 2020 This paper proposes a robust reconstruction scheme for image/ video transmission in space-time trellis coding (STTC) based MIMO wireless multimedia sensor networks (WMSN).
Ankit Kudeshia +3 more
doaj +1 more source
Bilateral attention network for semantic segmentation
IET Image Processing, 2021 Enhancing network feature representation capabilities and reducing the loss of image details have become the focus of semantic segmentation task. This work proposes the bilateral attention network for semantic segmentation.
Dongli Wang +3 more
doaj +1 more source
IEEE Access, 2023 This paper proposes three novel feature extraction approaches for human activity recognition in videos. The proposed solutions are based on video coding concepts including motion compensations and coding based feature variables.
Tamer Shanableh
doaj +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Image and Video Coding and Formatting [PDF]
, 2010 The data acquired by the sensor have to be processed by the coprocessor or the host microprocessor, so both the systems have to share the same communication protocol and data format. Moreover, at the end of the image generation pipeline the image must be coded in a standard format in order to be read by every external device.
A. Bruna, A. Buemi, G. Spampinato
openaire +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source