We present a nonparametric density estimation technique for image caption generation. Data-driven matching methods have shown to be effective for a variety of complex problems in Computer Vision. These methods reduce an inference problem for an unknown image to finding an existing labeled image which is semantically similar. However, related approaches for image caption generation (Ordonez et a...

This paper presents a supervised learning algorithm for image deblurring. The task is addressed into the conceptual framework of matrix regression and gradient evolution. Specifically, given pairs of blurred image patches and their corresponding clear ones, an optimization framework of matrix regression is proposed to learn a matrix mapping. For an image to be deblurred, the learned matrix mapp...

Temporal Web Image Retrieval can be defined as the process that retrieves sets of Web images with their temporal dimension from explicit or implicit temporal text queries. Supposing that (a) the temporal dimension is included in image indexing and (b) the query is explicitly expressed with a time tag (e.g. “Fukushima 2011”), the retrieval task can be straightforward as image retrieval has been ...

1. We show cycle detection results using the proposed unsupervised constraint mining approach on the large-scale ImageNet 2012 dataset as well as three image datasets with generic objects (CIFAR-10), fine-grained objects (CUB200-2011), and scene classes (MIT indoor-67), respectively. 2. We show examples of easy negative image pairs (i.e., image pairs with large Euclidean distance in the feature...

This article describes the participation of the Communications Engineering Branch (CEB), a division of the Lister Hill National Center for Biomedical Communications, in the ImageCLEF 2011 medical retrieval track. Our methods encompass a variety of techniques relating to textand content-based image retrieval. Our textual approaches primarily utilize the Unified Medical Language System (UMLS) syn...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Stina Westman Name of the doctoral dissertation Journalistic Image Access: Description, Categorization and Searching Publisher School of Science Unit Department of Media Technology Series Aalto University publication series DOCTORAL DISSERTATIONS 87/2011 Field of research Media Technology Manuscript submitted 14 June 2011 Manu...

Hyperspectral (HS) imaging has become an efficient tool for agriculture applications. While HS image can provide large amounts of information, it has high redundancy because the bands of HS image are highly correlated. To solve citrus greening disease (Huanglongbing, or HLB) detection problem using airborne HS image, an efficient dimension reduction method needs to be applied, to improve the ac...

This report documents the program and the outcomes of Dagstuhl Seminar 11501 “Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data”, taking place December 11–16, 2011. The seminar gathered 26 senior and younger researchers from various countries in the unique atmosphere offered by Schloss Dagstuhl. The focus of the seminar was to discuss modern and emerging...