It is our great pleasure to welcome you to the third annual Lifelog Search Challenge - LSC'20-held during the ACM ICMR'20 conference in Dublin, Ireland.
Motivated by the success of the first two LSC workshops and driven by the fact that lifelog organisation and retrieval continue to pose significant challenges for the research community, we are organising the third in the series of LSC workshops. The mission of the LSC workshops is to support the development and comparative evaluation of interactive lifelog retrieval systems by releasing test collections and defining research challenges to be solved by the community in an open and collaborative manner. The LSC workshops are participation workshops, where participants write and present an academic paper describing their retrieval system, and then take part in a live interactive search competition. Consequently, the workshop is highly interactive and challenging for participants. LSC'20 starts with short oral presentations of participating systems, followed by the search challenge which involves both expert users in a private session and novice users in a public session, which never fails to excite.
The call for papers attracted submissions from Asia and Europe and ultimately fourteen papers have been selected for inclusion in the program, with authors from Ireland, Austria, China, Czech Republic, Denmark, Japan, Netherlands, Slovakia, Switzerland, Taiwan and Vietnam. Each of these papers is accompanied by a working interactive search engine. The organisers are delighted to see such a strong community building around the Lifelog Search Challenge.
Proceeding Downloads
Interactive Lifelog Retrieval with vitrivr
The variety and amount of data being collected in our everyday life poses unique challenges for multimedia retrieval. In the Lifelog Search Challenge (LSC), multimedia retrieval systems compete in finding events based on descriptions containing hints ...
VRLE: Lifelog Interaction Prototype in Virtual Reality: Lifelog Search Challenge at ACM ICMR 2020
The Lifelog Search Challenge (LSC) invites researchers to share their prototypes for interactive lifelog retrieval and encourages competition to develop and evaluate effective methodologies to achieve this. With this paper we present a novel approach to ...
LifeGraph: A Knowledge Graph for Lifelogs
- Luca Rossetto,
- Matthias Baumgartner,
- Narges Ashena,
- Florian Ruosch,
- Romana Pernischová,
- Abraham Bernstein
The data produced by efforts such as life logging is commonly multi modal and can have manifold interrelations with itself as well as external information. Representing this data in such a way that these rich relations as well as all the different ...
Exquisitor at the Lifelog Search Challenge 2020
- Omar Shahbaz Khan,
- Mathias Dybkjær Larsen,
- Liam Alex Sonto Poulsen,
- Björn Þór Jónsson,
- Jan Zahálka,
- Stevan Rudinac,
- Dennis Koelma,
- Marcel Worring
We present an enhanced version of Exquisitor, our interactive and scalable media exploration system. At its core, Exquisitor is an interactive learning system using relevance feedback on media items to build a model of the users' information need. ...
Myscéal: An Experimental Interactive Lifelog Retrieval System for LSC'20
The Lifelog Search Challenge (LSC), is an annual comparative bench-marking activity for comparing approaches to interactive retrieval from multi-modal lifelogs. Being an interactive search challenge, issues such as retrieval accuracy, search speed and ...
A Multi-level Interactive Lifelog Search Engine with User Feedback
With the rise of portable wearable devices, it is easier for users to save their lifelog data. As lifelog is usually disorganized with multi-modal information (even noisy sometimes), an interactive search engine is crucial for users to review and ...
lifeXplore at the Lifelog Search Challenge 2020
Since its first iteration in 2018, the Lifelog Search Challenge (LSC) -- an interactive competition for retrieving lifelogging moments -- is co-located at the annual ACM International Conference on Multimedia Retrieval (ICMR) and has drawn international ...
BIDAL-HCMUS@LSC2020: An Interactive Multimodal Lifelog Retrieval with Query-to-Sample Attention-based Search Engine
In this paper, we introduce an interactive multimodal lifelog retrieval system with the search engine built by utilizing the attention mechanism. The algorithm upon which the system relies is constructed by applying two observations: (1) most of the ...
Multimodal Retrieval through Relations between Subjects and Objects in Lifelog Images
With the development of wearable devices, people nowadays record their life experiences much easier than before. Lifelog retrieval becomes an emerging task. Because of the semantic gap between visual data and textual queries, retrieving lifelog images ...
LifeSeeker 2.0: Interactive Lifelog Search Engine at LSC 2020
- Tu-Khiem Le,
- Van-Tu Ninh,
- Minh-Triet Tran,
- Thanh-An Nguyen,
- Hai-Dang Nguyen,
- Liting Zhou,
- Graham Healy,
- Cathal Gurrin
In this paper we present our interactive lifelog retrieval engine in the LSC'20 comparative benchmarking challenge. The LifeSeeker2.0 interactive lifelog retrieval engine is developed by both Dublin City University and Ho Chi Minh University of Science, ...
VIRET Tool with Advanced Visual Browsing and Feedback
VIRET is a video retrieval system that performed competitively in several recent interactive multimedia search competitions. For the Lifelog Search Challenge 2020, we implement several new features that focus on result set presentation based on ...
FIRST - Flexible Interactive Retrieval SysTem for Visual Lifelog Exploration at LSC 2020
- Minh-Triet Tran,
- Thanh-An Nguyen,
- Quoc-Cuong Tran,
- Mai-Khiem Tran,
- Khanh Nguyen,
- Van-Tu Ninh,
- Tu-Khiem Le,
- Hoang-Phuc Trang-Trung,
- Hoang-Anh Le,
- Hai-Dang Nguyen,
- Trong-Le Do,
- Viet-Khoa Vo-Ho,
- Cathal Gurrin
Lifelog can provide useful insights of our daily activities. It is essential to provide a flexible way for users to retrieve certain events or moments of interest, corresponding to a wide variation of query types. This motivates us to develop FIRST, a ...
SOMHunter for Lifelog Search
We present an extended version of SOMHunter, an interactive retrieval tool designed for known-item and ad-hoc search tasks over image and video datasets. Even though SOMHunter has achieved significant success at the most recent Video Browser Showdown ...
Voxento: A Prototype Voice-controlled Interactive Search Engine for Lifelogs
In this paper, we describe an interactive voice-based retrieval system for lifelogs which has been developed to participate in the third Lifelog Search Challenge LSC'20, at ACM ICMR'20. Based on a standard text-based retrieval methodology, the novelty ...