Maxime Portaz, J. Poignant, Mateusz Budnik, Philippe Mulhem, J. Chevallet, Lorraine Goeuriot
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引用次数: 4
摘要
本文介绍了两个来自两个博物馆的带注释的照片和视频数据集。数据来自两个不同的博物馆:主要收藏绘画的mus de Grenoble博物馆和收藏凯尔特和前罗马时期物品的lyon - fourvi re博物馆。总共包含4674幅带注释的图像，对应784幅不同的艺术品，以及5个人拍摄的3h07个博物馆参观视频。该数据集可以作为图像检索和视频分割和注释任务的挑战。它们对研究界是免费提供的。这些集合的图像包含对4313个文档的语料库的361个查询。此外，从访问视频中提取了2132张额外的图像，允许从其他来源测试图像。三种最先进的方法在这些集合上进行处理和测试。MOTS-CLÉS: Recherche d 'instances图像，语料库。
Construction et évaluation d'un corpus pour la recherche d'instances d'images muséales
This paper presents two datasets of annotated photos and videos from two museums. The data comes from two different museums : the Musée de Grenoble, with mainly paintings, and the Lyon-Fourvière museum, with Celtic and pre-Roman objects. In total, they contain 4674 annotated images, corresponding to 784 different artworks, and 3h07 of museum visit firstperson videos shot by 5 persons. This dataset can be used as a challenge for image retrieval and video segmentation and annotation tasks. They are freely available to the research community. The images of these collections contain 361 queries on a corpus of 4313 documents. Moreover, 2132 additional images are extracted from the visit videos, allowing to test images from other sources. Three state of the art approaches are processed and tested on these collections. MOTS-CLÉS : Recherche d’instances images, corpus.
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