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Multiscreen-Dataset

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arXiv2023-06-22 更新2024-06-21 收录
下载链接:
https://github.com/NabajeetBarman/Multiscreen-Dataset
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资源简介:
本研究介绍了首个开源数据集Multiscreen-Dataset,旨在评估多屏视频流应用中的主观评分差异。该数据集由金斯顿大学创建,包含多种编码视频序列,分别在电视、平板和手机三种不同屏幕尺寸的设备上进行主观评分。数据集不仅提供了主观评分,还包括了客观质量评估指标的性能分析。此数据集的应用领域广泛,包括但不限于研究不同屏幕尺寸对用户体验的影响、评估现有视频质量评估算法、设计新的参数模型和跨实验室主观质量评估研究。

This study introduces the first open-source dataset, Multiscreen-Dataset, which aims to evaluate subjective rating differences in multi-screen video streaming applications. Developed by Kingston University, this dataset includes various encoded video sequences that were subjected to subjective rating tests on three device categories with distinct screen sizes: televisions, tablets, and smartphones. In addition to providing subjective rating data, the dataset also features performance analyses of objective video quality assessment metrics. This dataset has a wide range of application domains, including but not limited to investigating the effects of different screen sizes on user experience, evaluating existing video quality assessment algorithms, designing new parametric models, and conducting cross-laboratory subjective quality assessment research.
提供机构:
金斯顿大学
创建时间:
2023-05-05
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