In this paper, we propose a novel effective framework to expand an existing image dataset
automatically leveraging existing categories and crowdsourcing. Especially, in this paper …

This text sets out a series of approaches to the analysis and synthesis of the World Wide
Web, and other web-like information structures. A comprehensive set of research questions …

The explosion of the Internet provides us with a tremendous resource of images shared
online. It also confronts vision researchers the problem of finding effective methods to …

Appropriate datasets are required at all stages of object recognition research, including
learning visual models of object and scene categories, detecting and localizing instances of …

We demonstrate a method for identifying images containing categories of animals. The
images we classify depict animals in a wide range of aspects, configurations and …

Web image search using text queries has received considerable attention. However, current
state-of-the-art approaches require training models for every new query, and are therefore …

This paper discusses a new method for automatic discovery and organization of descriptive
concepts (labels) within large real-world corpora of user-uploaded multimedia, such as …

論文抄録 「一般物体認識」 とは, 制約のない実世界シーンの画像に対して計算機がその中に含ま
れる物体を一般的な名称で認識することで, コンピュータビジョンの究極の研究課題の 1 つである …

Learning classifiers for many visual concepts are important for image categorization and
retrieval. As a classifier tends to misclassify negative examples which are visually similar to …

Cui, F., et al.,“Content-enriched classifier for web video classifica tion.” In Proc. of SIGIR 10,
Jul. 19-23, 2010, pp. 619-626. Fischer, S., et al., Automatic recognition of film genres. In …