Efficient Content-Based Information Retrieval: A New Similarity Measure for Multimedia Data
Content-based information retrieval of multimedia data is a great and attractive challenge which raises numerous research activities. As multimedia data become ubiquitous in our daily lives, information retrieval systems have to adapt their retrieval performance to different situations in order to efficiently satisfy the users’ information needs anytime and anywhere. To enhance the content-based multimedia information retrieval process, we propose an efficient similarity measure based on flexible feature representations. We define the similarity model for content-based information retrieval and show its feasibility on real world multimedia data. Furthermore, we briefly discuss future research directions which we plan to investigate.
|Authors:||Beecks C., Seidl T.|
|Published in:||Symposium on Future Directions in Information Access (FDIA 2009) in conjunction with 7th European Summer School in Information Retrieval, Padua, Italy.|
|URL:||FDIA @ ESSIR 2009|
|Forschungsgebiet:||Exploration of Multimedia Databases|