From announce at list.ipol.im Thu Jan 18 20:22:05 2024 From: announce at list.ipol.im (announcements about the IPOL journal) Date: Thu, 18 Jan 2024 20:22:05 +0100 Subject: [IPOL discuss] [IPOL announce] new article: Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination Message-ID: A new article is available in IPOL: https://www.ipol.im/pub/art/2024/494/ Sylvain W. Combettes, Paul Boniol, Antoine Mazarguil, Danping Wang, Diego Vaquero-Ramos, Marion Chauveau, Laurent Oudre, Nicolas Vayatis, Pierre-Paul Vidal, Alexandra Roren, and Marie-Martine Lef?vre-Colau, Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination, Image Processing On Line, 14 (2024), pp. 1?13. https://doi.org/10.5201/ipol.2024.494 Abstract This article thoroughly describes a data set of 240 multivariate time series collected using 34 Cartesian Optoelectronic Dynamic Anthropometer (CODA) markers placed on the upper limb of 16 healthy subjects each undergoing 15 predefined movements such as raising their arms or combing their hair. Each sensor records its position in the 3D space. In total, 2.5 hours of time series are collected. A remarkable aspect of this data set is the extensive availability of metadata: subjects' characteristics (age, height, etc.) as well as movements' annotations. Indeed, for each subject and each movement, the start and end time stamps of at least two iterations of the same movement are provided. In addition to the study of human motion, this data set can be used to evaluate generic time series analytical tasks such as multivariate time series segmentation, clustering or classification. -- IPOL - Image Processing On Line - http://ipol.im/ contact edit at ipol.im - http://www.ipol.im/meta/contact/ news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/ announces announce at list.ipol.im - http://tools.ipol.im/mm/announce/ discussions discuss at list.ipol.im - http://tools.ipol.im/mm/discuss/ From announce at list.ipol.im Fri Jan 19 09:53:32 2024 From: announce at list.ipol.im (announcements about the IPOL journal) Date: Fri, 19 Jan 2024 09:53:32 +0100 Subject: [IPOL discuss] [IPOL announce] new article: Comparing Interactive Image Segmentation Models under Different Clicking Procedures Message-ID: A new article is available in IPOL: https://www.ipol.im/pub/art/2024/498/ Franco Marchesoni-Acland, Comparing Interactive Image Segmentation Models under Different Clicking Procedures, Image Processing On Line, 14 (2024), pp. 14?24. https://doi.org/10.5201/ipol.2024.498 Abstract Interactive image segmentation (IIS) methods are usually evaluated in terms of segmentation performance vs.\ number of clicks (NoC). However, the automatic evaluation depends on a clicking procedure and its relation to the procedure used for training. In this work we compare qualitatively and quantitatively two state-of-the-art IIS methods that report the best performances but have not been compared against each other. We show i) what method is better, ii) that the performance is sensitive to clicking procedures, iii) what method is more robust to clicking procedures, and iv) that training with a specific clicking procedure does not guarantee the best performance using it. -- IPOL - Image Processing On Line - http://ipol.im/ contact edit at ipol.im - http://www.ipol.im/meta/contact/ news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/ announces announce at list.ipol.im - http://tools.ipol.im/mm/announce/ discussions discuss at list.ipol.im - http://tools.ipol.im/mm/discuss/ From announce at list.ipol.im Fri Jan 19 10:09:56 2024 From: announce at list.ipol.im (announcements about the IPOL journal) Date: Fri, 19 Jan 2024 10:09:56 +0100 Subject: [IPOL discuss] [IPOL announce] new article: On the Domain Generalization Capabilities of Interactive Segmentation Methods Message-ID: A new article is available in IPOL: https://www.ipol.im/pub/art/2024/499/ Franco Marchesoni-Acland, Tanguy Magne, Fay?al Rekbi, and Gabriele Facciolo, On the Domain Generalization Capabilities of Interactive Segmentation Methods, Image Processing On Line, 14 (2024), pp. 25?40. https://doi.org/10.5201/ipol.2024.499 Abstract Interactive image segmentation (IIS) methods are usually trained over segmentation datasets containing natural images. They are also usually evaluated over natural images. However, the most common use case is the annotation of new images from a different domain. Yet, the performance of IIS methods on a different domain is seldom reported. In this work, we evaluate a state-of-the-art IIS method trained with natural images over an aerial image dataset. Its performance is compared to the performances the method achieves when being trained/finetuned with aerial images. The comparison reveals that there is a big domain generalization gap. -- IPOL - Image Processing On Line - http://ipol.im/ contact edit at ipol.im - http://www.ipol.im/meta/contact/ news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/ announces announce at list.ipol.im - http://tools.ipol.im/mm/announce/ discussions discuss at list.ipol.im - http://tools.ipol.im/mm/discuss/