ITM-HDR-VQA DATASET

The ITM-HDR-VQA dataset is a video quality assessment dataset for inversely tone-mapped videos. It contain 200 HDR10 videos with their MOS.We capture videos of 20 typical HDR scenes including daylight scenes containing both sunlit areas and deep shadows and night scenes lit by artificial lights. The contents of these scenes can be roughly divided into two categories, man-made architecture and natural scenery.A SONY A7S3 camera capable of recording a luminance range of up to 15 stops was used. The camera configurations are as follows: conversion curve = S-Log3, color management space = S-Gamut3, resolution = 3840×2160, and frame rate = 50 fps. After obtaining SDR videos, we map them to ITM-HDR-Videos through ten representative ITM algorithms, including traditional and deep learning-based methods.

搜集汇总

背景与挑战

背景概述

ITM-HDR-VQA数据集是一个用于反向色调映射视频质量评估的专业数据集，包含200个HDR10格式的视频及其平均主观评分(MOS)。该数据集使用索尼A7S3相机拍摄，涵盖20种典型HDR场景，并通过10种代表性算法将SDR视频转换为ITM-HDR视频。