International Journal of Multimedia Information Retrieval

Accurate retrieval of liver CT images can help a specialist to decide on the type of lesion and treatment planning. However, the complex texture of the abnormality and its nonlinear characteristic reduces the recognition rate of a retrieval …

Recent works in deep-learning research highlighted remarkable relational reasoning capabilities of some carefully designed architectures. In this work, we employ a relationship-aware deep learning model to extract compact visual features used …

While deep neural network-based models have demonstrated compelling performance on various tasks in computer vision and other fields, they have been found to be vulnerable to adversarial attacks. Particularly, deep convolutional neural network …

This paper presents an efficient medical image indexing and retrieval method using two new proposed feature descriptors named as threshold local binary AND pattern (TLBAP) and local adjacent neighborhood average difference pattern (LANADP). In …

Video content has been increasing at an unprecedented rate in recent years, bringing the need for improved tools providing efficient access to specific contents of interest. Within the management of video content, hyperlinking aims at determining …