Indoors and Outdoors Content-Based Localization
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 590
Special Issue Editors
Interests: computer vision and image/video analysis; deep neural networks; multimedia retrieval
Interests: IoT; systems services; networks security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the era of the abundance of information and content sharing, a strong need for geo-locating an event from images or videos without GPS information is constantly emerging. Citizen journalism, fact-checkers, climate change, and ecology organisations, as well as law enforcement organisations fighting criminal activities and trafficking, all need the localization of captured content in order to save lives or debunk misinformation. This requires solutions for both indoor and outdoor scenes. The proposed approaches may provide different levels of location granularity (continent, country, region, city etc.) or create “identifier sets”—i.e., clusters that can be matched across multiple videos and scenes.
The goal of this Special Issue is to invite high-quality, state-of-the-art research papers that deal with challenging issues of content-based geolocation. Topics of interest include:
- Computer vision for indoor objects matching and retrieval;
- Location-specific object analysis and retrieval;
- Image-based architecture and design classification;
- Human-related location markers (appearance, fashion, activities etc.);
- Outdoor landmarks detection and matching;
- Location-specific vegetation and animal classification;
- Image/video and weather data correlation approaches;
- Audio analysis for localization hint extraction.
Dr. Theodoros Semertzidis
Dr. Charalampos Z. Patrikakis
Guest Editors
Manuscript Submission Information
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