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ICMCS
2000
IEEE
137views Multimedia» more  ICMCS 2000»
15 years 3 months ago
Automatic Query Generation for Content-Based Image Retrieval
We describe a subsystem of a content-based image retrieval (CBIR) environment that supports a user in the definition of image similarity. Out of a single image or a set of query i...
Christian Breiteneder, Horst Eidenberger
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
15 years 3 months ago
Non-linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
VLDB
1992
ACM
120views Database» more  VLDB 1992»
15 years 3 months ago
An Information-Retrieval Approach for Image Databases
The retrieval process in image database systems is inherently different from the retrieval processin traditional (recordoriented)databasesystems.While thelatter canbe consideredan...
Fausto Rabitti, Pasquale Savino
SIGIR
2010
ACM
15 years 3 months ago
Human performance and retrieval precision revisited
Several studies have found that the Cranfield approach to evaluation can report significant performance differences between retrieval systems for which little to no performance...
Mark D. Smucker, Chandra Prakash Jethani
ECIR
2010
Springer
15 years 23 days ago
Query Difficulty Prediction for Contextual Image Retrieval
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
Xing Xing, Yi Zhang 0001, Mei Han