Implications for design of image browsing interfaces, taxonomies, thesauri, and similar tools are discussed.
"Thumbnail View" of image browsing feature in the new finding aid interface.
We approach the problem of large-scale satellite image browsing from a content-based retrieval and semantic categorization perspective.
In this paper, we propose a novel design of content access and extraction algorithm for compressed image browsing and indexing, which is critical for all visual information systems.
William H. Gates III described new innovations in spam filtering, image browsing, and portable media to an audience of over 1,000 MIT students yesterday.
While the main focus of image research is on indexing and retrieval of individual images, the general topic of image browsing and indexing, and retrieval of groups of images has not been adequately investigated.
This connection is exploited by leveraging results from information geometry to solve problems such as (1) recognition of important semantic concepts, (2) semantically-focused image browsing, and (3) estimation of the average-case semantic encoding for a collection of images that share a medically relevant visual detail.
Citation: Ashish Parulekar, Ritendra Datta, Jia Li and James Z. Wang, ''Large-scale Satellite Image Browsing using Automatic Semantic Categorization and Content-based Retrieval," Proceedings of the IEEE International Workshop on Semantic Knowledge in Computer Vision, in conjunction with IEEE International Conference on Computer Vision, 8 pages, Beijing, China, IEEE, October 2005.
The name [ib] stands for image bridging, image browsing and image brightening.
