ImageCLEF 2023 highlight ::multimedia retrieval in medical, social media and content recommendation applications

In this paper, we provide an overview of the upcoming ImageCLEF campaign. ImageCLEF is part of the CLEF Conference and Labs of the Evaluation Forum since 2003. ImageCLEF, the Multimedia Retrieval task in CLEF, is an ongoing evaluation initiative that promotes the evaluation of technologies for annotation, indexing, and retrieval of multimodal data with the aim of providing information access to large collections of data in various usage scenarios and domains. In its 21st edition, ImageCLEF 2023 will have four main tasks: (i) a Medical task addressing automatic image captioning, synthetic medical images created with GANs, Visual Question Answering for colonoscopy images, and medical dialogue summarization; (ii) an Aware task addressing the prediction of real-life consequences of online photo sharing; (iii) a Fusion task addressing late fusion techniques based on the expertise of a pool of classifiers; and (iv) a Recommending task addressing cultural heritage content-recommendation. In 2022, ImageCLEF received the participation of over 25 groups submitting more than 258 runs. These numbers show the impact of the campaign. With the COVID-19 pandemic now over, we expect that the interest in participating, especially at the physical CLEF sessions, will increase significantly in 2023

Overview of the ImageCLEF 2023 ::multimedia retrieval in medical, social media and internet applications

This paper presents an overview of the ImageCLEF 2023 lab, which was organized in the frame of the Conference and Labs of the Evaluation Forum – CLEF Labs 2023. ImageCLEF is an ongoing evaluation event that started in 2003 and that encourage the evaluation of the technologies for annotation, indexing and retrieval of multimodal data with the goal of providing information access to large collections of data in various usage scenarios and domains. In 2023, the 21st edition of ImageCLEF runs three main tasks: (i) a medical task which included the sequel of the caption analysis task and three new tasks, namely, GANs for medical images, Visual Question Answering for colonoscopy images, and medical dialogue summarization; (ii) a sequel of the fusion task addressing the design of late fusion schemes for boosting the performance, with two real-world applications: image search diversification (retrieval) and prediction of visual interestingness (regression); and (iii) a sequel of the social media aware task on potential real-life effects awareness of online image sharing. The benchmark campaign was a real success and received the participation of over 45 groups submitting more than 240 runs

Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications

Today’s IoT deployments are highly complex, heterogeneous and constantly changing. This poses severe security challenges such as limited end-to-end security support, lack of cross-platform cross-vertical security interoperability as well as the lack of security services that can be readily applied by security practitioners and third party developers. Overall, these require scalable, decentralized and intelligent IoT security mechanisms and services which are addressed by the SecureIoT project. This paper presents the definition, implementation and validation of a SecureIoT-enabled socially assisted robots (SAR) usage scenario. The aim of the SAR scenario is to integrate and validate the SecureIoT services in the scope of personalized healthcare and ambient assistive living (AAL) scenarios, involving the integration of two AAL platforms, namely QTrobot (QT) and CloudCare2U (CC2U). This includes risk assessment of communications security, predictive analysis of security risks, implementing access control policies to enhance the security of solution, and auditing of the solution against security, safety and privacy guidelines and regulations. Future perspectives include the extension of this security paradigm by securing the integration of healthcare platforms with IoT solutions, such as Healthentia with QTRobot, by means of a system product assurance process for cyber-security in healthcare applications, through the PANACEA toolkit

Fungal Grapevine Trunk Diseases in Romanian Vineyards in the Context of the International Situation

Vitis vinifera, known as the common grape vine, represents one of the most important fruit crops in the world. Romania is a wine-producing country with a rich and long tradition in viticulture. In the last decade, increasing reports of damage caused by grapevine trunk diseases (GTDs) have raised concerns in all wine producing countries. Up to now, no study was performed regarding the GTDs situation in Romania, an important grapevine grower in Europe. In this study, we aim, after a comprehensive presentation of the fungal GTDs worldwide, to review the scientific information related to these diseases in Romania in order to open a national platform in an international framework. In order to achieve this, we consulted over 500 references from different scientific databases and cited 309 of them. Our review concludes that, in Romania, there is little amount of available literature on this matter. Three out of six fungal GTDs are reported and well documented in all of the Romanian viticultural zones (except for viticultural zone 4). These are Eutypa dieback, Phomopsis dieback, and Esca disease. Of the fungal pathogens considered responsible Eutypa lata, Phomopsis viticola and Stereum hirsutum are the most studied and well documented in Romania. Management measures are quite limited, and they mostly include preventive measures to stop the GTDs spread and the removal of affected grapevines

Overview of the imageCLEF 2023: Multimedia retrieval in medical social media and internet applications

14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, ProceedingsInternational audienceThis paper presents an overview of the ImageCLEF 2023lab, which was organized in the frame of the Conference and Labs ofthe Evaluation Forum – CLEF Labs 2023. ImageCLEF is an ongoingevaluation event that started in 2003 and that encourage the evaluationof the technologies for annotation, indexing and retrieval of multimodaldata with the goal of providing information access to large collections ofdata in various usage scenarios and domains. In 2023, the 21st edition ofImageCLEF runs three main tasks: (i) a medical task which included thesequel of the caption analysis task and three new tasks, namely, GANsfor medical images, Visual Question Answering for colonoscopy images,and medical dialogue summarization; (ii) a sequel of the fusion task addressing the design of late fusion schemes for boosting the performance,with two real-world applications: image search diversification (retrieval)and prediction of visual interestingness (regression); and (iii) a sequelof the social media aware task on potential real-life effects awareness ofonline image sharing. The benchmark campaign was a real success andThis version of the article has been accepted for publication, after peer review (whenapplicable) and is subject to Springer Nature’s AM terms of use, but is not the Versionof Record and does not reflect post-acceptance improvements, or any corrections.The Version of Record is available online at: https://doi.org/10.1007/978-3-031-42448-9_25received the participation of over 45 groups submitting more than 240runs