Abstract:- In this paper, we proposed an approach of imagery-based image retrieval considering individual’s subjective perception. By using eigen SGLD (Space Gray Level Dependence) matrices, the statistical and textural features of images were extracted, the associations between these features and semantic features based on human visual perception were analyzed, and the mapping models were designed to bridge the gap between the feature representation and the individual use’s imagery. On this basis, the scheme of imagery-based flexible image retrieval by multiform query was proposed. Furthermore, the user satisfaction-based evaluation was made
Abstract — The data retrieval process needs a storage and search methodology to find the data accord...
[[abstract]]In this study, we propose a fuzzy logic framework for content-based image retrieval (CBI...
Since the emergence of Internet, a gigantic volume of images have been uploaded into the Internet fr...
AbstractÐThe paper presents a review of 200 references in content-based image retrieval. The paper s...
Image querying refers to the problem of finding objects that are relevant to a user query within ima...
Abstract: "Consider a stereotypical image-retrieval problem; a user submits a set of query images to...
Abstract. In this paper we propose to employ human visual attention models for content based image r...
In this paper a novel approach for generalized image retrieval based on semantic contents is present...
This paper summarizes a prototype geographical image retrieval system that demonstrates how to integ...
The significant growth in the volume of image data has driven the demand for efficient techniques to...
With the proliferation of multimedia, the web and digital imaging, there now exists a high demand fo...
In this chapter, we describe two new approaches to content-based image retrieval (CBIR) based on pre...
Abstract. Content-based image search has long been considered a diffi-cult task. Making correct conj...
Multimedia information retrieval in digital libraries is a difficult task for computers in general. ...
This paper details the behavioral evaluation of a qualitative image categorisation and retrieval app...
Abstract — The data retrieval process needs a storage and search methodology to find the data accord...
[[abstract]]In this study, we propose a fuzzy logic framework for content-based image retrieval (CBI...
Since the emergence of Internet, a gigantic volume of images have been uploaded into the Internet fr...
AbstractÐThe paper presents a review of 200 references in content-based image retrieval. The paper s...
Image querying refers to the problem of finding objects that are relevant to a user query within ima...
Abstract: "Consider a stereotypical image-retrieval problem; a user submits a set of query images to...
Abstract. In this paper we propose to employ human visual attention models for content based image r...
In this paper a novel approach for generalized image retrieval based on semantic contents is present...
This paper summarizes a prototype geographical image retrieval system that demonstrates how to integ...
The significant growth in the volume of image data has driven the demand for efficient techniques to...
With the proliferation of multimedia, the web and digital imaging, there now exists a high demand fo...
In this chapter, we describe two new approaches to content-based image retrieval (CBIR) based on pre...
Abstract. Content-based image search has long been considered a diffi-cult task. Making correct conj...
Multimedia information retrieval in digital libraries is a difficult task for computers in general. ...
This paper details the behavioral evaluation of a qualitative image categorisation and retrieval app...
Abstract — The data retrieval process needs a storage and search methodology to find the data accord...
[[abstract]]In this study, we propose a fuzzy logic framework for content-based image retrieval (CBI...
Since the emergence of Internet, a gigantic volume of images have been uploaded into the Internet fr...