An efficient low-dimensional color indexing scheme for region-based image retrieval
نویسندگان
چکیده
In this work, an efficient low-dimensional color indexing scheme for region-based image retrieval is presented. The colors in each image region are first quantized so that only a small number of cluster centroids are needed to represent the region color information. The proposed color feature descriptor consists of these quantized colors and their percentages in the region. A similarity distance measure is defined and shown to be equivalent to the quadratic color histogram distance measure. The quantized colors are indexed in the 3-D color space so that high-dimensional indexing can be avoided. During the search process, each quantized color in the query is used as a separate cue to find matches containing that color. The matches from all the query colors are then joined to obtain the final retrievals. Experimental results show that the proposed scheme is fast and accurate compared to the color histogram approach.
منابع مشابه
Color and Shape Index for Region-Based Image Retrieval
Most CBIR systems use low-level visual features for representation and retrieval of images. Generally such methods suffer from the problems of high-dimensionality leading to more computational time and inefficient indexing and retrieval performance. This paper focuses on a low-dimensional color and shape based indexing technique for achieving efficient and effective retrieval performance. We pr...
متن کاملGrouping and Indexing Color Features for Efficient Image Retrieval
Content-based image retrieval (CBIR) aims at searching image databases for specific images that are similar to a given query image based on matching of features derived from the image content. This paper focuses on a low-dimensional color based indexing technique for achieving efficient and effective retrieval performance. In our approach, the color features are extracted using the mean shift a...
متن کاملAn efficient color representation for image retrieval
A compact color descriptor and an efficient indexing method for this descriptor are presented. The target application is similarity retrieval in large image databases using color. Colors in a given region are clustered into a small number of representative colors. The feature descriptor consists of the representative colors and their percentages in the region. A similarity measure similar to th...
متن کاملImage Retrieval from Databases: an Approach using Region Color and Indexing Technique
The paper focuses on a low-dimensional color-based indexing technique for achieving efficient and effective retrieval performance. We have implemented the technique of retrieval of images from databases based on color feature extracted from each region/regions of an image represented by dominant or representative color descriptor. Each image is segmented using Mean Shift algorithm, a robust clu...
متن کاملA Color Indexing Scheme Using Two-level Clustering Processing for Effective and Efficient Image Retrieval
In this paper, we present a clustering-based color indexing scheme for effective amd efficient image retrieval, which is essentially an exploration on the application of clustering technique to image retrieval. In our approach, the color features are clustered automatically using a color clustering algorithm twice (called two-level clustering processing) and two color feature summarizations are...
متن کامل