Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

Sports data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

Sports highlight generation techniques aim at condensing a full-length video to a
significantly shortened version that still preserves the main interesting content of the original …

Time-sync video tagging aims to automatically generate tags for each video shot. It can
improve the user's experience in previewing a video's timeline structure compared to …

We consider the problem of automatic highlight-detection in video game streams. Currently,
the vast majority of highlight-detection systems for games are triggered by the occurrence of …

Bib number/text detection and recognition in Marathon natural images is challenging
because of unconstrained poses created by background and bib number font variations …

Nowadays, video-sharing portals' popularity has entailed massive growth in data uploads
over the Internet. For several applications (eg, browsing, retrieval, or recommendation of …

Lecture videos are the most popular learning materials due to their pedagogical benefits.
However, accessing a topic or subtopic of interest requires manual examination of each …

Efficient access of game videos is urgently demanded due to the emergence of live
streaming platforms and the explosive numbers of gamers and viewers. In this work we …

Efficient access to broadcasted computer game videos is urgently demanded due to the
emergence of live streaming platforms. The popularity of game video streaming builds a big …