[2405.07868] Boostlet.js: Image processing plugins for the web via JavaScript injection
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Computer Science > Computer Vision and Pattern Recognition

arXiv:2405.07868 (cs)
[Submitted on 13 May 2024]

Title:Boostlet.js: Image processing plugins for the web via JavaScript injection

Authors:Edward Gaibor, Shruti Varade, Rohini Deshmukh, Tim Meyer, Mahsa Geshvadi, SangHyuk Kim, Vidhya Sree Narayanappa, Daniel Haehn
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Abstract:Can web-based image processing and visualization tools easily integrate into existing websites without significant time and effort? Our this http URL library addresses this challenge by providing an open-source, JavaScript-based web framework to enable additional image processing functionalities. Boostlet examples include kernel filtering, image captioning, data visualization, segmentation, and web-optimized machine-learning models. To achieve this, this http URL uses a browser bookmark to inject a user-friendly plugin selection tool called PowerBoost into any host website. Boostlet also provides on-site access to a standard API independent of any visualization framework for pixel data and scene manipulation. Web-based Boostlets provide a modular architecture and client-side processing capabilities to apply advanced image-processing techniques using consumer-level hardware. The code is open-source and available.
Comments: 5 pages, 5 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2405.07868 [cs.CV]
  (or arXiv:2405.07868v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2405.07868

Submission history

From: Edward Gaibor [view email]
[v1] Mon, 13 May 2024 15:57:19 UTC (8,737 KB)
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