3 research outputs found

    Overview of imageCLEFlifelog 2019: solve my life puzzle and lifelog Moment retrieval

    Get PDF
    This paper describes ImageCLEFlifelog 2019, the third edition of the Lifelog task. In this edition, the task was composed of two subtasks (challenges): the Lifelog Moments Retrieval (LMRT) challenge that followed the same format as in the previous edition, and the Solve My Life Puzzle (Puzzle), a brand new task that focused on rearranging lifelog moments in temporal order. ImageCLEFlifelog 2019 received noticeably higher submissions than the previous editions, with ten teams participating resulting in a total number of 109 runs

    Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation

    Get PDF
    This paper presents an overview of the ImageCLEF 2018 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) Labs 2018. ImageCLEF is an ongoing initiative (it started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval with the aim of providing information access to collections of images in various usage scenarios and domains. In 2018, the 16th edition of ImageCLEF ran three main tasks and a pilot task: (1) a caption prediction task that aims at predicting the caption of a figure from the biomedical literature based only on the figure image; (2) a tuberculosis task that aims at detecting the tuberculosis type, severity and drug resistance from CT (Computed Tomography) volumes of the lung; (3) a LifeLog task (videos, images and other sources) about daily activities understanding and moment retrieval, and (4) a pilot task on visual question answering where systems are tasked with answering medical questions. The strong participation, with over 100 research groups registering and 31 submitting results for the tasks, shows an increasing interest in this benchmarking campaign

    Overview of ImageCLEFlifelog 2018: daily living understanding and lifelog moment retrieval

    Get PDF
    Benchmarking in Multimedia and Retrieval related research fields has a long tradition and important position within the community. Benchmarks such as the MediaEval Multimedia Benchmark or CLEF are well established and also served by the community. One major goal of these competitions beside of comparing different methods and approaches is also to create or promote new interesting research directions within multimedia. For example the Medico task at MediaEval with the goal of medical related multimedia analysis. Although lifelogging creates a lot of attention in the community which is shown by several workshops and special session hosted about the topic. Despite of that there exist also some lifelogging related benchmarks. For example the previous edition of the lifelogging task at ImageCLEF. The last years ImageCLEFlifelog task was well received but had some barriers that made it difficult for some researchers to participate (data size, multi modal features, etc.) The ImageCLEFlifelog 2018 tries to overcome these problems and make the task accessible for an even broader audience (eg, pre-extracted features are provided). Furthermore, the task is divided into two subtasks (challenges). The two challenges are lifelog moment retrieval (LMRT) and the Activities of Daily Living understanding (ADLT). All in all seven teams participated with a total number of 41 runs which was an significant increase compared to the previous year
    corecore