The ability to identify particular features and structures, such as faces or types of scenery in images, is a topic with many available applications and potential solutions. In th...
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
Disk images (bitstreams extracted from physical media) can play an essential role in the acquisition and management of digital collections by serving as containers that support da...