Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Giovanni Maria Farinella"'
Publikováno v:
Multimedia Tools and Applications. 80:22323-22346
This paper addresses the problem of Visual Sentiment Analysis focusing on the estimation of the polarity of the sentiment evoked by an image. Starting from an embedding approach which exploits both visual and textual features, we attempt to boost the
Publikováno v:
IPAS
Colonoscopy is currently the most effective screening method to find precancerous colon polyps and plan their removal. Computer-aided polyp detection can reduce polyp miss detection rates and help doctors find the most critical regions to pay attenti
Publikováno v:
MeMeA
Colorectal cancer is the largest cause of cancer deaths for both men and women, hence early detection of polyps plays an important role for survival. Despite the advancement of the state-of-the-art in the context of objects detection, methods suffer
Publikováno v:
Image and Vision Computing. 107:104098
Recognizing artworks in a cultural site using images acquired from the user's point of view (First Person Vision) allows to build interesting applications for both the visitors and the site managers. However, current object detection algorithms worki
Publikováno v:
RTSI
This work compares the performances of two families of image-based methods for egocentric shopping cart localization in retail stores, namely, methods based on image retrieval and approaches based on direct pose regression from the input image. Our c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b6b5fd9e8c41d9ca24310d5aee5a06c
http://hdl.handle.net/20.500.11769/365579
http://hdl.handle.net/20.500.11769/365579
Autor:
Mirko Guarnera, Daniele Ravi, Sebastiano Battiato, Giovanni Maria Farinella, Valeria Tomaselli
Publikováno v:
Pattern Recognition. 48:1086-1100
In this paper we introduce the DCT-GIST image representation model which is useful to summarize the context of the scene. The proposed image descriptor addresses the problem of real-time scene context classification on devices with limited memory and
Publikováno v:
Multimedia Tools and Applications. 75:5513-5531
This paper proposes a method able to exploit peculiarities of both, local and global shape descriptors, to be employed for shape classification and retrieval. In the proposed framework, the silhouettes of symbols are firstly described through Bags of
Publikováno v:
WearMMe@ICMR
Wearable cameras allow to easily acquire long and unstructured egocentric videos. In this context, temporal video segmentation methods can be useful to improve indexing, retrieval and summarization of such content. While past research investigated me
This paper presents an approach for generating class-specific image segmentation. We introduce two novel features that use the quantized data of the Discrete Cosine Transform (DCT) in a Semantic Texton Forest based framework (STF), by combining toget
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::412ad8d837145dea98839445a6b798c3
https://surrey.eprints-hosting.org/812097/
https://surrey.eprints-hosting.org/812097/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319279251
MOD
MOD
Consensus clustering is a powerful method to combine multiple partitions obtained through different runs of clustering algorithms. The goal is to achieve a robust and stable partition of the space through a consensus procedure which exploits the dive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ab7d97696c35c2614e83d0a04aabd9a
https://doi.org/10.1007/978-3-319-27926-8_30
https://doi.org/10.1007/978-3-319-27926-8_30