This paper presents an overview of the ImageCLEF 2019 lab, organized as part of the
Conference and Labs of the Evaluation Forum-CLEF Labs 2019. ImageCLEF is an ongoing …

Recently, much effort and attention has been devoted to Visual Question Answering (VQA)
on static images and Video Question Answering (VideoQA) on third-person videos. In the …

This paper presents the participation of the Multimedia Lab to the 2019 ImageCLEF Lifelog
Moment Retrieval task. Given 10 topics in natural language description, participants are …

In our working notes we discuss our proposed strategies for the ImageCLEFlifelog LMRT
task. We used word vectors to calculate similarity scores between queries and images. To …

This paper describes our approach to the task of ImageCLEFlifelog 2019. Totally five runs
are presented here, which contribute to Lifelog Moment Retrieval (LMRT) task. We use …

The increasing number of mobile and wearable devices is dramatically changing the way
we can collect data about a person's life. These devices allow recording our daily activities …

Lifelogging offers a mean for people to record their day to day life. However, without proper
tools for retrieving specific moments, the large volume of collected data is rendered less …

The ImageCLEF lifelog Moment Retrieval Task promotes research for lifelogging retrieval by
providing a benchmark with an evaluation process that allows a comparative analysis of …

An Interactive Watershed-Based Approach for Lifelog Moment Retrieval Page 1 An Interactive
Watershed-based Approach for Lifelog Moment Retrieval Trong-Dat Phan Faculty of Information …

Lifelogging has taken a wide range of interest from research communities due to the
increasing number of wearable and personal devices. With a large amount of data collected …