ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature

Abstract

This paper presents an overview of the foreseen ImageCLEF 2019 lab that will be organized as part of the Conference and Labs of the Evaluation Forum -CLEF Labs 2019. ImageCLEF is an ongoing evaluation initiative (started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing information access to large collections of images in various usage scenarios and domains. In 2019, the 17th edition of Image-CLEF will run four main tasks: (i) a Lifelog task (videos, images and other sources) about daily activities understanding, retrieval and summarization, (ii) a Medical task that groups three previous tasks (caption analysis, tuberculosis prediction, and medical visual question answering) with newer data, (iii) a new Coral task about segmenting and labeling collections of coral images for 3D modeling, and (iv) a new Security task addressing the problems of automatically identifying forged content

Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications

“…ImageCLEF 2020 consists of four main tasks with the objective of covering a diverse range of multimedia retrieval applications, namely: medicine, lifelogging, nature, and Internet applications. It followed the 2019 tradition [28] of diversifying the use cases [2,8,19,38,35,31]. The 2020 tasks are presented as follows:…”

ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications

“…The ImageCLEF medical task has been running every year since 2004 [22]. In 2020, it will follow a similar format as in the previous edition [18] containing the same three subtasks with some modifications. The three tasks will be: tuberculosis analysis [10][11][12], figure caption analysis [13,17,23], and Visual Question Answering [2,16].…”

“…It has been held every year since then and delivered many results in the analysis and retrieval of images [20,21]. Medical tasks started in 2004 and have in some years been the majority of the tasks in ImageCLEF [18,19].…”

The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications

“…It has been held every year since then and delivered many results in the analysis and retrieval of images [12,15]. Medical tasks started in 2004 and have in some years been the majority of the tasks in ImageCLEF [10,11]. The objectives of ImageCLEF have always been the multilingual or language-independent analysis of visual content.…”