Thousands of images are generated every day, which implies the necessity to classify,
organise and access them using an easy, faster and efficient way. Scene classification, the …

In order to improve the retrieval accuracy of content-based image retrieval systems, research
focus has been shifted from designing sophisticated low-level feature extraction algorithms …

Organizing digital photograph collections according to events such as holiday gatherings or
vacations is a common practice among photographers. To support photographers in this …

Similarity measuring methods are widely adopted in a broad range of visualization
applications. In this work, we address the challenge of representing human perception in the …

Scene recognition is a highly valuable perceptual ability for an indoor mobile robot,
however, current approaches for scene recognition present a significant drop in …

Automatic image annotation is a promising solution to enable semantic image retrieval via
keywords. In this paper, we propose a multi-level approach to annotate the semantics of …

This paper presents an approach to designing and implementing extensible computational
models for perceiving systems based on a knowledge-driven joint inference approach …

Mobile robotics has achieved notable progress, however, to increase the complexity of the
tasks that mobile robots can perform in natural environments, we need to provide them with …

We present a novel trajectory traversability estimation and planning algorithm for robot
navigation in complex outdoor environments. We incorporate multimodal sensory inputs …

Multi-level annotation of images is a promising solution to enable semantic image retrieval
by using various keywords at different semantic levels. In this paper, we propose a multi …