| 翻訳と辞書 |
| Image collection exploration ： ウィキペディア英語版 |
Image collection exploration
Image collection exploration is a mechanism to explore large digital image repositories. The huge amount of digital images produced every day through different devices such as mobile phones bring forth challenges for the storage, indexing and access to these repositories. Content-based image retrieval (CBIR) has been the traditional paradigm to index and retrieve images. However, this paradigm suffers of the well known semantic gap problem. Image collection exploration consists of a set of computational methods to represent, summarize, visualize and navigate image repositories in an efficient, effective and intuitive way.〔Jorge E. Camargo, Juan C. Caicedo, Fabio A. Gonzalez, A kernel-based framework for image collection exploration, Journal of Visual Languages & Computing, Volume 24, Issue 1, February 2013, 53-57. ISSN 10-45-926X. http://dx.doi.org/10.1016/j.jvlc.2012.10.008〕
== Summarization ==
Automatic summarization consists in finding a set of images from a larger image collection that represents such collection.〔Chunlei Yang, Jialie Shen, Jinye Peng, Jianping Fan, Image collection summarization via dictionary learning for sparse representation, Pattern Recognition, Volume 46, Issue 3, March 2013, Pages 948-961, ISSN 0031-3203, http://dx.doi.org/10.1016/j.patcog.2012.07.011.〕 Different methods based on clustering have been proposed to select these image prototypes (summary). The summarization process addresses the problem of selecting a representative set of images of a search query or in some cases, the overview of an image collection.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
■ウィキペディアで「Image collection exploration」の詳細全文を読む
スポンサード リンク
| 翻訳と辞書 : 翻訳のためのインターネットリソース |
Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.
|
|