Liu Wenyin
ABSTRACT
MiAlbum© (v1.0) is a system developed at Microsoft Research China for managing family photos with the help of a semi-automatic image annotation approach. It provides functionalities to import (from scanner, digital camera, disks, PC, CD, web, etc), label (keyword, name, place, etc.), categorize (by automatic classification into some predefined classes), manipulate (in some ways), and export (send or print) family photo images. In this demo, we show the efficiency of the semi-automatic image annotation method and its help in improving the image retrieval accuracy.
- 1.Liu et al. (2000) A Semi-Automatic Image Annotation Strategy and Its Performance Evaluation. Microsoft Technical Report.Google Scholar
- 2.Lu Yet al. (2000) A Unified Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval Systems. To appear in Proc. ACM Multimedia2000. Google ScholarDigital Library
- 3.Platt J (2000) AutoAlbum: Clustering Digital Photographs Using Probabilistic Model Merging. In: Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, pp. 96-100. Google ScholarDigital Library
Index Terms
- MiAlbum - a system for home photo managemet using the semi-automatic image annotation approach
Recommendations
Semi-automatic dynamic auxiliary-tag-aided image annotation
Image annotation is the foundation for many real-world applications. In the age of Web 2.0, image search and browsing are largely based on the tags of images. In this paper, we formulate image annotation as a multi-label learning problem, and develop a ...
Comments