We present an advanced version called Voxento-Pro which is an interactive voice-based lifelog retrieval system. This system has been developed to participate in the seventh ACM Lifelog Search Challenge LSC'24, at ICMR'24 in Thailand. In Voxento-Pro, we ...

In lifelog data search, despite automatic supports for identifying relevant pieces of information, the processes of inputting queries and filtering information from the generated results still heavily rely on human searchers.

With the rapid increase in ...

Building on our success with the Vibro video search system in the Video Browser Showdown, we are beginning a new effort by applying our video search technologies to the Lifelog Search Challenge for the first time. Our approach is to treat the lifelog ...

In lifelogging, user experience is one of the most important features as it provides accessibility and efficiency. A well-designed and intuitive interface minimizes errors and frustration, which provides the ability to find a specific lifelog image ...

The amplified advancements of lifelog retrieval systems has led to increased demands for user-friendly systems tailored to both expert and novice users. At the heart of this evolution is the Lifelog Search Challenge (LSC), an annual forum facilitating ...

We introduce the LifeInsight 2.0 system - an enhanced version of LifeInsight, built specifically for the sixth annual Lifelog Search Challenge (LSC'23). LifeInsight 2.0 leverages the core functionalities of LifeInsight while incorporating significant ...

Multimedia retrieval in computer science is the process of obtaining text, images, videos, and audio segments, all in digital form relevant to an information need from a collection of these resources. With the ever-growing amount of data, scalable and ...

In this paper, we introduce LifeInsight – an interactive lifelog retrieval system developed for the sixth annual Lifelog Search Challenge (LSC’23). LifeInsight incorporates semantic search mechanisms from state-of-the-art lifelog retrieval systems ...

Lifelogging is referred to as the process of automatically capturing the everyday activities of an individual to ultimately create a digital diary for further sharing, which can be challenging to manage and retrieve due to its multimodal nature. ...

In this paper, we introduce Voxento 4.0 – an interactive voice-based retrieval system for lifelogs which has been developed to participate in the sixth Lifelog Search Challenge LSC’23, at ACM ICMR’23. Voxento has participated three times in the LSC ...

One of the important components of the lifelog systems is the user interface which provides the ability to quickly and easily find a specific image or set of images. Although lifelogging is a mature field in the information retrieval domain, the focus ...

Conversational recommender systems (CRS) dynamically obtain the users' preferences via multi-turn questions and answers. The existing CRS solutions are widely dominated by deep reinforcement learning algorithms. However, deep reinforcement learning ...

The retrieval of multimedia content remains a difficult problem where a high accuracy or specificity can often only be achieved interactively, with a user working closely and iteratively with a retrieval system. While there exist several venues for the ...

During the last 10 years of Video Browser Showdown (VBS), there were many different approaches tested for known-item search and ad-hoc search tasks. Undoubtedly, teams incorporating state-of-the-art models from the machine learning domain had an ...

In this paper, we introduce LifeSeeker 4.0 - an interactive lifelog retrieval system developed for the fifth annual Lifelog Search Challenge (LSC'22). In LifeSeeker 4.0, we focus on enhancing our previous system to allow users who have little to no ...

Voxento is an interactive voice-based retrieval system for lifelogs which has been redeveloped and optimised to participate in the fifth Lifelog Search Challenge LSC'22, at ACM ICMR'22. Based on the previous experience in the LSC competition and ranked ...

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 ...

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 ...

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 ...

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 ...