Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
— This paper proposes a personalized web-based system with evolving automatic indexing that may be used in multimedia courses. Instructors may use the system to create and delive...
A new computing era after Mainframes, PC’s and mobiles is becoming more and more anticipated since the beginning of the 21st century. This new era is often described with several...
This paper presents a bottom-up approach to multimedia teachware creation, that is completely based on self-descriptive media objects. Especially the lack of any static linkage bet...
A neural network scheme is presented in this paper for adaptive video indexing and retrieval. First, a limited but characteristic amount of frames are extracted from each video sc...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...