⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

February 1, 2015Integrated Computer-Aided Engineering

Classification and indexing scheme of large-scale image repository for spatio-temporal landmark recognition

Daehoon Kim Seungmin Rho Sanghoon Jun Eenjun Hwang

View at Publisher

Ask AI

Bookmark

Share

Abstract

In this paper, we propose a classification and indexing scheme of large-scale image repository for spatio-temporal landmark recognition using the local features, GPS data and user tags of images. For spatio-temporal landmark image classification, we

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Kim et al. (2015) studied this question.

synapsesocial.com/papers/6a2100928a2be7a714f64753 https://doi.org/10.3233/ica-140478

View at Publisher

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1Comparative evaluation of a hybrid decomposition-based neural network model for multi-horizon hourly traffic forecastingIntegrated Computer-Aided Engineering · 2026
2Modeling of air-fuel mixture flow in a marine four-stroke diesel engine to optimize performance and minimize pollutant emissionsIntegrated Computer-Aided Engineering · 2026
3Evolutionary neural architecture design for text-driven computer-aided visual concept generationIntegrated Computer-Aided Engineering · 2026
4Rapid seismic vulnerability assessment using closed-form damage index equations obtained via explainable machine learningIntegrated Computer-Aided Engineering · 2026
5A secure anti-counterfeiting system based on perovskite microstructuresIntegrated Computer-Aided Engineering · 2026

A latent diffusion framework for spatiotemporal enhancement of geostationary satellite imageryIntegrated Computer-Aided Engineering · 2026
Temporal coordination aware reinforcement learning for multi-agent UAV navigation in dynamic environmentsIntegrated Computer-Aided Engineering · 2026
Membrane computing for the identification of network traffic anomalies in communication networksIntegrated Computer-Aided Engineering · 2026
Deterministic population initialization for multi-objective mapping of multiple applications in network-on-chip-based many-core systemsIntegrated Computer-Aided Engineering · 2026
An adaptive multi-agent system for dynamic detection and prediction of daily energy profiles in buildingsIntegrated Computer-Aided Engineering · 2026

IMore from Integrated Computer-Aided Engineering

More from Korea University

More from Sungkyul University