Multi‐modal video search by examples—A video quality impact analysis

Today's article comes from IET Computer Vision. The authors are Wu et al., from Queen's University Belfast, in the UK. This paper presents a solution for multi-modal video search. That is: the ability to search for information within video-content, using text, audio, image and video files as the queries themselves.

DOI: 10.1049/cvi2.12303

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