paper-with-me

홈 › Papers

Interactive in-base street model edit: how common GIS software and a database can serve as a custom Graphical User Interface

2018-01-17 · Remi Cura, Julien Perret, Nicolas Paparoditis

Our modern world produces an increasing quantity of data, and especially geospatial data, with advance of sensing technologies, and growing complexity and organisation of vector data. Tools are needed to efficiently create and edit those vector geospatial data. Procedural generation has been a tool of choice to generate strongly organised data, yet it may be hard to control. Because those data may be involved to take consequence-full real life decisions, user interactions are required to check data and edit it. The classical process to do so would be to build an adhoc Graphical User Interface (GUI) tool adapted for the model and method being used. This task is difficult, takes a large amount of resources, and is very specific to one model, making it hard to share and re-use. Besides, many common generic GUI already exists to edit vector data, each having its specialities. We propose a change of paradigm; instead of building a specific tool for one task, we use common GIS software as GUIs, and deport the specific interactions from the software to within the database. In this paradigm, GIS software simply modify geometry and attributes of database layers, and those changes are used by the database to perform automated task. This new paradigm has many advantages. The first one is genericity. With in-base interaction, any GIS software can be used to perform edition, whatever the software is a Desktop sofware or a web application. The second is concurrency and coherency. Because interaction is in-base, use of database features allows seamless multi-user work, and can guarantee that the data is in a coherent state. Last we propose tools to facilitate multi-user edits, both during the edit phase (each user knows what areas are edited by other users), and before and after edit (planning of edit, analyse of edited areas).

📄 PDF Abstract BibTeX arXiv:1801.05800

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Human Assisted Artificial Intelligence Based Technique to Create Natural Features for OpenStreetMap

2020-07-04 · Piyush Yadav, Dipto Sarkar, Shailesh Deshpande, Edward Curry

In this work, we propose an AI-based technique using freely available satellite images like Landsat and Sentinel to create natural features over OSM in congruence with human editors acting as initiators and validators. T…

BIG-bench Machine Learning

Interactive White Balancing for Camera-Rendered Images

2020-09-26 · Mahmoud Afifi, Michael S. Brown

White balance (WB) is one of the first photo-finishing steps used to render a captured image to its final output. WB is applied to remove the color cast caused by the scene's illumination. Interactive photo-editing softw…

A citizen science toolkit to collect human perceptions of urban environments using open street view images

2024-02-29 · Matthew Danish, SM Labib, Britta Ricker, Marco Helbich

Street View Imagery (SVI) is a valuable data source for studies (e.g., environmental assessments, green space identification or land cover classification). While commercial SVI is available, such providers commonly restr…

Land Cover ClassificationSurvey

AgentStepper: Interactive Debugging of Software Development Agents

2026-02-06 · Robert Hutter, Michael Pradel arxiv

Software development agents powered by large language models (LLMs) have shown great promise in automating tasks like environment setup, issue solving, and program repair. Unfortunately, understanding and debugging such …

Program Repair

Anycost GANs for Interactive Image Synthesis and Editing

2021-03-04 · CVPR 2021 1 · Ji Lin, Richard Zhang, Frieder Ganz, Song Han 외

Generative adversarial networks (GANs) have enabled photorealistic image synthesis and editing. However, due to the high computational cost of large-scale generators (e.g., StyleGAN2), it usually takes seconds to see the…

Image Generation