- Sponsor:
- sigmm
It is our great pleasure to welcome you to the fourth annual Lifelog Search C-'21-held during the ACM ICMR'21 conference.
Motivated by the success of the first three LSC workshops and driven by the fact that lifelog organization and retrieval continue to pose significant challenges for the research community, we are organizing the fourth workshop in the LSC series. The mission of the workshop series 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'21 starts with an eagerly anticipated keynote from Prof Alan Smeaton, followed by short oral presentations of participating systems and then by the search challenge which never fails to excite.
The call for papers attracted submissions from Asia and Europe and ultimately sixteen papers have been selected for inclusion in the program, with authors based in Austria, Czech Republic, Denmark, Ireland, Netherlands, Switzerland, Taiwan and Vietnam. Each of these papers is accompanied by a working interactive search engine. The organizers are delighted to see such a strong community continuously building around the Lifelog Search Challenge.
Proceeding Downloads
Lifelogging as a Memory Prosthetic
Since computers were first used to address the challenge of managing information rather than performing calculations computing arithmetic values, or even before that since the time that MEMEX was designed by Vannevar Bush in the 1940s, we have been ...
Exquisitor at the Lifelog Search Challenge 2021: Relationships Between Semantic Classifiers
Exquisitor is a scalable media exploration system based on interactive learning. To satisfy a user's information need, the system asks the user for feedback on media items and uses that feedback to interactively construct a classifier, that is in turn ...
Exploring Graph-querying approaches in LifeGraph
The multi-modal and interrelated nature of lifelog data makes it well suited for graph-based representations. In this paper, we present the second iteration of LifeGraph, a Knowledge Graph for Lifelog Data, initially introduced during the 3rd Lifelog ...
Myscéal 2.0: A Revised Experimental Interactive Lifelog Retrieval System for LSC'21
Building an interactive retrieval system for lifelogging contains many challenges due to massive multi-modal personal data besides the requirement of accuracy and rapid response for such a tool. The Lifelog Search Challenge (LSC) is the international ...
Exploring Intuitive Lifelog Retrieval and Interaction Modes in Virtual Reality with vitrivr-VR
The multimodal nature of lifelog data collections poses unique challenges for multimedia management and retrieval systems. The Lifelog Search Challenge (LSC) offers an annual evaluation platform for such interactive retrieval systems. They compete ...
lifeXplore at the Lifelog Search Challenge 2021
Since its first iteration in 2018, the Lifelog Search Challenge (LSC) continues to rise in popularity as an interactive lifelog data retrieval competition, co-located at the ACM International Conference on Multimedia Retrieval (ICMR). The goal of this ...
ViRMA: Virtual Reality Multimedia Analytics at LSC 2021
In this paper we describe the first iteration of the ViRMA prototype system, a novel approach to multimedia analysis in virtual reality and inspired by the M3 data model. We intend to evaluate our approach via the Lifelog Search Challenge (LSC) to serve ...
Interactive Multimodal Lifelog Retrieval with vitrivr at LSC 2021
- Silvan Heller,
- Ralph Gasser,
- Mahnaz Parian-Scherb,
- Sanja Popovic,
- Luca Rossetto,
- Loris Sauter,
- Florian Spiess,
- Heiko Schuldt
The Lifelog Search Challenge (LSC) is an annual benchmarking competition for interactive multimedia retrieval systems, where participating systems compete in finding events based on textual descriptions containing hints about structured, semi-structured,...
LifeSeeker 3.0: An Interactive Lifelog Search Engine for LSC'21
- Thao-Nhu Nguyen,
- Tu-Khiem Le,
- Van-Tu Ninh,
- Minh-Triet Tran,
- Nguyen Thanh Binh,
- Graham Healy,
- Annalina Caputo,
- Cathal Gurrin
In this paper, we present the interactive lifelog retrieval engine developed for the LSC'21 comparative benchmarking challenge. The LifeSeeker 3.0 interactive lifelog retrieval engine is an enhanced version of our previous system participating in LSC'20 ...
LifeConcept: An Interactive Approach for Multimodal Lifelog Retrieval through Concept Recommendation
The major challenge in visual lifelog retrieval is the semantic gap between textual queries and visual concepts. This paper presents our work on the Lifelog Search Challenge 2021 (LSC'21), an annual comparative benchmarking activity for comparing ...
Memento: A Prototype Lifelog Search Engine for LSC'21
In this paper, we introduce a new lifelog retrieval system called Memento that leverages semantic representations of images and textual queries projected into a common latent space to facilitate effective retrieval. It bridges the semantic gap between ...
PhotoCube at the Lifelog Search Challenge 2021
The Lifelog Search Challenge (LSC) is a venue where retrieval system researchers compete in solving tasks to retrieve the correct image from a lifelog collection. At LSC 2021, we introduce the PhotoCube system as a new competitor. PhotoCube is an ...
Voxento 2.0: A Prototype Voice-controlled Interactive Search Engine for Lifelogs
In this paper, we describe an extended version of Voxento which is an interactive voice-based retrieval system for lifelogs that has been developed to participate in the fourth Lifelog Search Challenge LSC'21, at ACM ICMR'21. Voxento provides a spoken ...
Enhanced SOMHunter for Known-item Search in Lifelog Data
SOMHunter represents a modern light-weight framework for known-item search in datasets of visual data like images or videos. The framework combines an effective W2VV++ text-to-image search approach, a traditional Bayesian like model for maintenance of ...
LifeMon: A MongoDB-Based Lifelog Retrieval Prototype
We present LifeMon, a new lifelog retrieval prototype targeting LSC. LifeMon is based around the MongoDB document store, which is one of a host of scalable NoSQL systems developed over the last two decades, with a semi-structured data model that seems ...
Flexible Interactive Retrieval SysTem 2.0 for Visual Lifelog Exploration at LSC 2021
- Hoang-Phuc Trang-Trung,
- Thanh-Cong Le,
- Mai-Khiem Tran,
- Van-Tu Ninh,
- Tu-Khiem Le,
- Cathal Gurrin,
- Minh-Triet Tran
With a huge collection of photos and video clips, it is essential to provide an efficient and easy-to-use system for users to retrieve moments of interest with a wide variation of query types. This motivates us to develop and upgrade our flexible ...
XQC at the Lifelog Search Challenge 2021: Interactive Learning on a Mobile Device
In a society dominated by mobile phones and still increasing media collections, Interactive Learning is slowly becoming the favored paradigm for managing these collections. Still, however, no scaling Interactive Learning system exists on a mobile phone. ...
