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Oct 20, 2022 · In this paper, we present a quality assessment method based on the danmaku visual saliency region. First, to obtain the sentiment trend of the danmaku, we ...
In this paper, we present a quality assessment method based on the danmaku visual saliency region. First, to obtain the sentiment trend of the danmaku, we ...
A quality assessment method based on the danmaku visual saliency region is presented, which conforms to the audience's subjective feelings about video ...
Video Quality Assessment of Danmaku-Based Video Saliency Regions. Cao, Lina; ;; Guo, Dongliang; ;; Wang, Quan; ;; Feng, Li; ;; Shi, Chuanbao. Abstract.
DAISTS introduces a dual-path spatial-temporal feature hierarchy, effectively merging deep and shallow learning attributes to improve saliency map accuracy.
In this paper, we present a depth-perceived 3D visual saliency map and propose a no-reference stereoscopic image quality assessment (NR SIQA) algorithm ...
Video Quality Assessment of Danmaku-Based Video Saliency Regions · Computer Science. IEEE Signal Processing Letters · 2022.
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Cao L, Guo D, Wang Q, Feng L, Shi C. Video Quality Assessment of Danmaku-based video saliency regions. IEEE Signal Process Lett. 2022;29:2213–7. https://doi.org ...
Video Quality Assessment of Danmaku-Based Video Saliency Regions. IEEE Signal Processing Letters. 2022 | Journal article ; VAPPD: Visual Analysis of Protein ...
Sep 22, 2024 · This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate ...