Feature-rich data, such as audio-video recordings, digital images, and results of scientific experiments, nowadays constitute the largest fraction of the massive data sets produced daily in the e-society. Content-based similarity search systems working on such data collections are rapidly growing in importance. Unfortunately, similarity search is in general very expensive and hardly scalable. In this paper we study the case of content-based image retrieval (CBIR) systems, and focus on the problem of increasing the throughput of a large-scale CBIR system that indexes a very large collection of digital images. By analyzing the query log of a real CBIR system available on the Web, we characterize the behavior of users who experience a novel se...
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing...
Large-scale similarity search engines are complex systems devised to process unstructured data like ...
Abstract--- Content-based image retrieval (CBIR) is a digital image processing system. Available ima...
Feature-rich data, such as audio-video recordings, digital images, and results of scientific experim...
In order to become an effective complement to traditional Web-scale text-based image retrieval solut...
As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining ...
Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Web-...
Abstract. In this paper, we report on our experience in building an experimental similarity search s...
With tremendous growth in the numbers and sizes of digital image and video collections, it is very n...
Similarity search in metric spaces is a general paradigm that can be used in several application fie...
This thesis investigates three major issues in the active field of content-based image retrieval (CB...
Content-based image retrieval (CBIR) aims to search the most similar images to a given query content...
CBIR has been a challenging problem and its performance relies on the underlying image similarity (d...
CBIR has been challenging problem and its performance relies on the underlying image similarity (dis...
Recent content-based image retrieval (CBIR) techniques were designed around query refinement based o...
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing...
Large-scale similarity search engines are complex systems devised to process unstructured data like ...
Abstract--- Content-based image retrieval (CBIR) is a digital image processing system. Available ima...
Feature-rich data, such as audio-video recordings, digital images, and results of scientific experim...
In order to become an effective complement to traditional Web-scale text-based image retrieval solut...
As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining ...
Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Web-...
Abstract. In this paper, we report on our experience in building an experimental similarity search s...
With tremendous growth in the numbers and sizes of digital image and video collections, it is very n...
Similarity search in metric spaces is a general paradigm that can be used in several application fie...
This thesis investigates three major issues in the active field of content-based image retrieval (CB...
Content-based image retrieval (CBIR) aims to search the most similar images to a given query content...
CBIR has been a challenging problem and its performance relies on the underlying image similarity (d...
CBIR has been challenging problem and its performance relies on the underlying image similarity (dis...
Recent content-based image retrieval (CBIR) techniques were designed around query refinement based o...
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing...
Large-scale similarity search engines are complex systems devised to process unstructured data like ...
Abstract--- Content-based image retrieval (CBIR) is a digital image processing system. Available ima...