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1
Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3162159
Abstract: We consider the problem of capturing distortions arising from changes in frame rate as part of Video Quality Assessment (VQA). Variable frame rate (VFR) videos have become much more common, and streamed videos commonly range…
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Keywords:
rate distortions;
frame rate;
video quality;
rate ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3207148
Abstract: Distortions from spatial and temporal domains have been identified as the dominant factors that govern the visual quality. Though both have been studied independently in deep learning-based user-generated content (UGC) video quality assessment (VQA) by…
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Keywords:
quality;
video quality;
quality assessment;
vqa ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2998805
Abstract: Visual Question Answering (VQA) is a very challenging task, which requires to understand visual images and natural language questions simultaneously. In the open-ended VQA task, most previous solutions focus on understanding the question and image…
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Keywords:
cascaded answering;
answer;
vqa;
model ... See more keywords
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0
Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2020.3045034
Abstract: Though beneficial for encouraging the visual question answering (VQA) models to discover the underlying knowledge by exploiting the input-output correlation beyond image and text contexts, the existing knowledge VQA data sets are mostly annotated in…
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Keywords:
vqa;
question;
visual question;
model ... See more keywords