Bridging the Semantic Gap in Image and Video Analysis
This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recog...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Σειρά: | Intelligent Systems Reference Library,
145 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.