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 …

Search reranking is regarded as a common way to boost retrieval precision. The problem
nevertheless is not trivial especially when there are multiple features or modalities to be …

In this paper we describe our experiments in the automatic and interactive search tasks and
the BBC rushes pilot task of TRECVid 2005. Our approach this year is somewhat different …

In this paper we describe the K-Space participation in TRECVid 2006. K-Space participated
in two tasks, high-level feature extraction and search. We present our approaches for each …

This year, the PicSOM group participated only in the Video to Text (VTT), Description
Generation subtask. For our submitted runs we used either the MSR-VTT dataset only, or MS …

Our experiments in TRECVID 2006 include participation in the shot boundary detection, high-
level feature extraction, and search tasks, using a common system framework based on …

This year the iAd-DCU team participated in three of the assigned TRECVid 2011 tasks;
Semantic Indexing (SIN), Interactive Known-Item Search (KIS) and Multimedia Event …

Content-based video retrieval systems have been widely associated with desktop
environments that are largely complex in nature, targeting expert users and often require …

Search reranking is considered as a best and common way to improves retrieval precision.
The images are retrieved using the associated textual information, such as surrounding text …

This thesis describe our work in developing a movie archive system for students of Film
Studies in Dublin City University. In particular, our system uses several recent multimedia …