The explosive growth and widespread accessibility of community-contributed media content
on the Internet have led to a surge of research activity in multimedia search. Approaches that …

Events are real-world occurrences that unfold over space and time. Event mining from
multimedia streams improves the access and reuse of large media collections, and it has …

In this paper, we review 300 references on video retrieval, indicating when text-only
solutions are unsatisfactory and showing the promising alternatives which are in majority …

Learning-based video annotation is a promising approach to facilitating video retrieval and it
can avoid the intensive labor costs of pure manual annotation. But it frequently encounters …

In this paper, we introduce hierarchical action search. Starting from the observation that
hierarchies are mostly ignored in the action literature, we retrieve not only individual actions …

In this paper, we address the problem of retrieving objects based on open-vocabulary
natural language queries: Given a phrase describing a specific object, eg,“the corn flakes …

In this paper, we address the problem of spatio-temporal person retrieval from videos using
a natural language query, in which we output a tube (ie, a sequence of bounding boxes) …

Recent research in video retrieval has been successful at finding videos when the query
consists of tens or hundreds of sample relevant videos for training supervised models …

As multimedia applications have become part of contemporary daily life, numerous
paradigm-shifting technologies in multimedia processing have emerged over the last …

As it is true for human perception that we gather information from different sources in natural
and multi-modality forms, learning from multi-modalities has become an effective scheme for …