Cross-category Video Highlight Detection via Set-based Learning

Data-driven personalisation of television content: a survey

“…Most recent works in this domain include [151][152][153]. In [151] a user-item interaction graph is formulated and TransGRec is proposed; the latter is an inductive graph-based transfer learning framework for personalised video highlight recommendation.…”

“…In [151] a user-item interaction graph is formulated and TransGRec is proposed; the latter is an inductive graph-based transfer learning framework for personalised video highlight recommendation. [152] explores the cross-category video highlight detection problem through learning two types of knowledge about highlight moments and applying it to the target video category, while [153] utilises multi-modal information by including content-agnostic audio-visual synchrony representations and mel-frequency cepstral coefficients to capture other intrinsic properties of audio.…”