Abstract Content-based image retrieval algorithms are frequently based on the bag-of-visualwords (BoV) representation of images. The BoV representation discards all spatial information. In this paper, we propose an algorithm which encodes spatial information into the BoV representation. Our algorithm forms geometry-preserving visual phrases which are invariant to translation and rotation. Furthermore, we demonstrate that our algorithm outperforms other recently proposed geometry-preserving image retrieval algorithms in terms of accuracy
International audienceMost image encodings achieve orientation invariance by aligning the patches to...
In this paper a novel scheme for representing topological features extracted from image database is ...
In this paper a novel scheme for representing topological features extracted from image database is ...
The most popular approach to large scale image re-trieval is based on the bag-of-visual-word (BoV) r...
The Bag-of-Visual-Words (BoVW) model is widely used for image classification, object recognition and...
Content-based image retrieval (CBIR) provides a sustainable solution to retrieve similar images from...
The requirement for effective image search, which motivates the use of Content-Based Image Retrieval...
10.1109/CVPR.2011.5995528Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
This paper describes a strategy for content-based image retrievalvia spatial configuration of object...
Abstract—This paper suggests a content-based image retrieval scheme, applicable to large web collect...
State of the art methods for image and object retrieval exploit both appearance (via visual words) a...
This paper describes a strategy for content-based image retrieval via spatial configuration of objec...
This paper describes a strategy for content-based image retrieval via spatial configuration of objec...
Building upon the previously introduced description logic of concrete domains, we provide a system w...
International audienceMost image encodings achieve orientation invariance by aligning the patches to...
International audienceMost image encodings achieve orientation invariance by aligning the patches to...
In this paper a novel scheme for representing topological features extracted from image database is ...
In this paper a novel scheme for representing topological features extracted from image database is ...
The most popular approach to large scale image re-trieval is based on the bag-of-visual-word (BoV) r...
The Bag-of-Visual-Words (BoVW) model is widely used for image classification, object recognition and...
Content-based image retrieval (CBIR) provides a sustainable solution to retrieve similar images from...
The requirement for effective image search, which motivates the use of Content-Based Image Retrieval...
10.1109/CVPR.2011.5995528Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
This paper describes a strategy for content-based image retrievalvia spatial configuration of object...
Abstract—This paper suggests a content-based image retrieval scheme, applicable to large web collect...
State of the art methods for image and object retrieval exploit both appearance (via visual words) a...
This paper describes a strategy for content-based image retrieval via spatial configuration of objec...
This paper describes a strategy for content-based image retrieval via spatial configuration of objec...
Building upon the previously introduced description logic of concrete domains, we provide a system w...
International audienceMost image encodings achieve orientation invariance by aligning the patches to...
International audienceMost image encodings achieve orientation invariance by aligning the patches to...
In this paper a novel scheme for representing topological features extracted from image database is ...
In this paper a novel scheme for representing topological features extracted from image database is ...