目次

Semantic Gap in Image and Video Analysis: An Introduction.- Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study.- Scale-insensitive MSER Features: A Promising Tool for Meaningful Segmentation of Images.- Active Partitions in Localization of Semantically Important Image Structures.- Model-based 3D Object recognition in RGB-D Images.- Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning.- Deep Learning – a New Era in Bridging the Semantic Gap.