Results 31 to 40 of about 11,643,007 (169)
Sensors, 2022 During acquisition, storage, and transmission, the quality of digital videos degrades significantly. Low-quality videos lead to the failure of many computer vision applications, such as object tracking or detection, intelligent surveillance, etc.
Domonkos Varga
doaj +1 more source
RAVA: Region-Based Average Video Quality Assessment
Sensors, 2021 Video has become the most popular medium of communication over the past decade, with nearly 90 percent of the bandwidth on the Internet being used for video transmission.
Xuanyi Wu +3 more
doaj +1 more source
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild
IEEE Access, 2021 Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos. Hence, most traditional VQA methods under-perform in-the-wild.
Franz Gotz-Hahn +3 more
doaj +1 more source
Video Quality Analysis: Steps towards Unifying Full and No Reference Cases
Standards, 2022 Video quality assessment (VQA) is now a fast-growing field, maturing in the full reference (FR) case, yet challenging in the exploding no reference (NR) case.
Pankaj Topiwala +4 more
doaj +1 more source
Low bit Rate Video Quality Analysis Using NRDPF-VQA Algorithm [PDF]
, 2015 In this work, we propose NRDPF-VQA (No Reference Distortion Patch Features Video Quality Assessment) model aims to use to measure the video quality assessment for H.264/AVC (Advanced Video Coding).
CH, Subrahmanyam +2 more
core +1 more source
Evaluating the Role of Content in Subjective Video Quality Assessment
The Scientific World Journal, 2014 Video quality as perceived by human observers is the ground truth when Video Quality Assessment (VQA) is in question. It is dependent on many variables, one of them being the content of the video that is being evaluated. Despite the evidence that content
Milan Mirkovic +4 more
doaj +1 more source
Entropy, 2022 Mobile multimedia communication requires considerable resources such as bandwidth and efficiency to support Quality-of-Service (QoS) and user Quality-of-Experience (QoE).
Syeda Maria Gillani +5 more
doaj +1 more source
CLiF-VQA: Enhancing Video Quality Assessment by Incorporating High-Level Semantic Information related to Human Feelings [PDF]
, 2023 Video Quality Assessment (VQA) aims to simulate the process of perceiving video quality by the human visual system (HVS). The judgments made by HVS are always influenced by human subjective feelings.
Li, Yu +5 more
core +1 more source
Video quality assessment via supervised topic model
, 2014 Video quality assessment (VQA) plays a very important role in many video processing and communication systems. Since video signals are ultimately delivered to human observers, an accurate objective video quality metric should agree well with judgment of ...
Lu, Xiaoqiang +5 more
core +1 more source
A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. [PDF]
Adv Intell SystThis work proposes a multimodal medical collaborative reasoning framework, which imitates clinician's working patterns of comparative analysis. The framework includes a cohort of domainâexpert models, and an large language model learner agent to generate inquiries and interact with these experts to gather the essential information, and integrate the ...
Gu Z, Liu F, Chen J, Yin C, Zhang P.
europepmc +2 more sources