A technique to retrieve images by region matching using a combined feature index based on color, shape and location is presented within the framework of MPEG-7. Dominant regions within each image are indexed using integrated color, shape and location features. Various combinations of regions are also indexed. The resulting indices and related metadata are stored in a Hash structure, where similar images tend to form clusters. The retrieval process is non-cascading and images can be retrieved based on color, shape or location and also based on a combined colorshape -location index. Results obtained show that retrieval e#ectiveness increases in non-cascaded region-based querying by combined index
We have proposed a composite feature measure which combines the shape and color features of an image...
Abstract. This paper presents a region-based image retrieval (RBIR) system in which users can choose...
[[abstract]]Content-based image retrieval has become more desirable for developing large image datab...
In this paper, we propose a novel system that strives to achieve advanced content-based image retrie...
Content-based Image Retrieval (CBIR) aims at searching image databases for specific images that are ...
In this paper, we present a region-based image retrieval (RBIR) system in which users can choose spe...
[[abstract]]This paper presents a total solution to extract color, shape and spatial features for in...
Region-based image retrieval systems aim to improve the effectiveness of content-based search by dec...
The Content-based image retrieval (CBIR) systems and their application in different areas of develop...
This paper proposes a content based image retrieval (CBIR) system using the local colour and texture...
Many systems have been proposed for automatic description and indexing of digital data, for posterio...
Color, texture and shape information have been the primitive image descriptors in content based imag...
[[abstract]]This paper presents a region-based image retrieval (RBIR) system in which users can choo...
This paper presents an efficient spatial indexing technique based on silhouette moments that makes t...
International audienceIn this paper, we present an efficient region-based image retrieval method, wh...
We have proposed a composite feature measure which combines the shape and color features of an image...
Abstract. This paper presents a region-based image retrieval (RBIR) system in which users can choose...
[[abstract]]Content-based image retrieval has become more desirable for developing large image datab...
In this paper, we propose a novel system that strives to achieve advanced content-based image retrie...
Content-based Image Retrieval (CBIR) aims at searching image databases for specific images that are ...
In this paper, we present a region-based image retrieval (RBIR) system in which users can choose spe...
[[abstract]]This paper presents a total solution to extract color, shape and spatial features for in...
Region-based image retrieval systems aim to improve the effectiveness of content-based search by dec...
The Content-based image retrieval (CBIR) systems and their application in different areas of develop...
This paper proposes a content based image retrieval (CBIR) system using the local colour and texture...
Many systems have been proposed for automatic description and indexing of digital data, for posterio...
Color, texture and shape information have been the primitive image descriptors in content based imag...
[[abstract]]This paper presents a region-based image retrieval (RBIR) system in which users can choo...
This paper presents an efficient spatial indexing technique based on silhouette moments that makes t...
International audienceIn this paper, we present an efficient region-based image retrieval method, wh...
We have proposed a composite feature measure which combines the shape and color features of an image...
Abstract. This paper presents a region-based image retrieval (RBIR) system in which users can choose...
[[abstract]]Content-based image retrieval has become more desirable for developing large image datab...