SIERRA - A Superimposed Application for Enhanced Image Description and Retrieval

In this demo proposal, we describe our prototype application, SIERRA, which combines text-based and content-based image retrieval and allows users to link together image content of varying document granularity with related data like annotations. To achieve this, we use the concept of superimposed information (SI), which enables users to (a) deal with information of varying granularity (sub-document to complete document), and (b) select or work with information elements at sub-document level while retaining the original context. Description In many image-based applications, like biomedical teaching, research, and diagnosis, there is need to link (or integrate) image content with other multimedia information: text annotations, metadata (keywords or ontological terms), audio-visual presentations, etc. Not only does this contribute to richer image descriptions, it also helps in more effective retrieval of images and related information [10]. Further, for complex images (e.g., images with p...

• Type: Conference
• Year: 2006
• Where: ERCIMDL
• Authors: Uma Murthy, Ricardo da Silva Torres, Edward A. Fox
• Keywords: Document Granularity, Education, ERCIMDL 2006, Image, Image Content