Bridging the Semantic Gap in Image and Video Analysis

1. Semantic Gap in Image and Video Analysis: An Introduction
Halina Kwaśnicka, Lakhmi C. Jain

2. Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study
D. Avola, L. Cinque, G. L. Foresti, N. Martinel, D. Pannone, C. Piciarelli

3. Scale-Insensitive MSER Features: APromising Tool for Meaningful Segmentation of Images
Andrzej Śluzek

4. Active Partitions in Localization of Semantically Important Image Structures
Arkadiusz Tomczyk

5. Model-Based 3D Object Recognition in RGB-D Images
Maciej Stefańczyk, Włodzimierz Kasprzak

6. Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning
Leslie F. Sikos

7. Deep Learning—A New Era in Bridging the Semantic Gap
Urszula Markowska-Kaczmar, Halina Kwaśnicka

Nyckelord: Engineering, Computational Intelligence, Semantics, Artificial Intelligence (incl. Robotics), Signal, Image and Speech Processing, Image Processing and Computer Vision