The Bridge between Data Warehouse and Image Processing

A new approach to fast content based color image retrieval in a wavelet-based hierarchical structure with data warehousing techniques. To tackle the key issues such as image data indexing, similarity measures, search methods and query processing in retrieval for large color image archives, we extend the concepts of conventional data warehouse and image database to image data warehouse for effective color indexing. In contrast to the existing systems which employ a fixed mechanism for similarity measurement, we propose to integrate wavelet multiresolution decomposition with data summarization for hierarchical color representation and flexible similarity measurement.

In addition, a guided search scheme is introduced in conjunction with data partitioning and aggregation techniques to speed up query processing. The proposed retrieval method is tested on RGB and YUV color spaces and the experimental results demonstrates its effectiveness and efficiency for content-based color image retrieval.

This work is similar to a new feature added by Google on its search engine in which we can easily filter the images based on different features like Face, Color etc. This is one of the steps in the direction of bridging the two vast areas Data Warehosuing and Image Processing

For detail about the current idea kindly go through the follwoing article : Article, Video Processing