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A metric for video blending quality assessment

Zhu, Zhe, Liu, Hantao, Lu, Jiaming and Hu, Shi-Min 2020. A metric for video blending quality assessment. IEEE Transactions on Image Processing 29 (1) , pp. 3014-3022. 10.1109/TIP.2019.2955294

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Abstract

We propose an objective approach to assess the quality of video blending. Blending is a fundamental operation in video editing, which can smooth the intensity changes of relevant regions. However blending also generates artefacts such as bleeding and ghosting. To assess the quality of the blended videos, our approach considers the illuminance consistency as a positive aspect while regard the artefacts as a negative aspect. Temporal coherence between frames is also considered. We evaluate our metric on a video blending dataset where the results of subjective evaluation are available. Experimental results validate the effectiveness of our proposed metric, and shows that this metric gives superior performance over existing video quality metrics.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
ISSN: 1057-7149
Last Modified: 26 Feb 2020 13:54
URI: http://orca.cf.ac.uk/id/eprint/129749

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