The task of keyword-based diverse image retrieval has received considerable attention due
to its wide demand in real-world scenarios. Existing methods either rely on a multi-stage re …

When video collections become huge, how to explore both within and across videos
efficiently is challenging. Video summarization is one of the ways to tackle this issue …

Although the problem of automatic video summarization has recently received a lot of
attention, the problem of creating a video summary that also highlights elements relevant to …

The task of cross-modal image retrieval has recently attracted considerable research
attention. In real-world scenarios, keyword-based queries issued by users are usually short …

Credibility, as the general concept covering trustworthiness and expertise, but also quality
and reliability, is strongly debated in philosophy, psychology, and sociology, and its …

From a business and government point of view, there is an increasing need to interpret and
act upon information from large-volume media, such as Twitter, Facebook and Web news …

In addition to relevance, diversity is an important yet less studied performance metric of
cross-modal image retrieval systems, which is critical to user experience. Existing solutions …

Purpose Dunhuang murals are rich in cultural and artistic value. The purpose of this paper is
to construct a novel mobile visual search (MVS) framework for Dunhuang murals, enabling …

Processing multimedia data has emerged as a key area for the application of machine
learning methods Building a robust classification model to use in high dimensional space …

Results returned by commercial image search engines should include relevant and
diversified depictions of queries in order to ensure good coverage of users' information …