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Found 4 papers, 0 papers with code
Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention
We introduce a novel ranking network that utilizes the Co-Attention between movies and trailers as guidance to generate the training pairs, where the moments highly corrected with trailers are expected to be scored higher than the uncorrelated moments.
Learning Trailer Moments in Full-Length Movies
A movie's key moments stand out of the screenplay to grab an audience's attention and make movie browsing efficient.
Composition-Aware Image Aesthetics Assessment
In this work, we propose to model the image composition information as the mutual dependency of its local regions, and design a novel architecture to leverage such information to boost the performance of aesthetics assessment.
On Attention Modules for Audio-Visual Synchronization
To judge whether audio and video signals of a multimedia presentation are synchronized, we as humans often pay close attention to discriminative spatio-temporal blocks of the video (e. g. synchronizing the lip movement with the utterance of words, or the sound of a bouncing ball at the moment it hits the ground).
