PP8K: A New Dataset for 8K UHD Video Compression and Processing

Abstract

In the new era of Ultra High Definition (UHD) videos, 8K is becoming more popular in diversified applications to boost the human visual experience and the performances of related vision tasks. However, researchers still suffer from the lack of 8K video sources to develop better processing algorithms for the compression, saliency detection, quality assessment, and vision analysis tasks. To ameliorate this situation, we construct a new comprehensive 8K UHD video dataset (PP8K), which has two sub-datasets, i.e., the Common Raw Format Videos (CRFV) dataset and the Video Salient Object Detection (VSOD) dataset. To fully validate the diversity and practicality, the spatial and temporal information characteristics of CRFV dataset are evaluated by the widely used metrics and the video encoder. Moreover, the VSOD dataset is the first proposed dataset for UHD saliency detection, and can provide diverse high-resolution annotations for 6,538 frames with comprehensive features and statistical analyses. Through the extensive experiments and comparative analyses with the other counterpart datasets, the proposed 8K dataset shows apparent advantages in diversity and practicality, which can benefit its applications for the developments of UHD video technologies. This dataset will be released online: <ext-link ext-link-type="uri" xlink:href="https://git.openi.org.cn/OpenDatasets/PP8K" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://git.openi.org.cn/OpenDatasets/PP8K</ext-link> . Demos can be accessed already.