Carlos Vieira
ABSTRACT
Several image manipulation tools support the use of at least one general scripting language (e.g., Python, JavaScript), for task automation. But, users of such tools usually do not have much experience or skill with these (or often any) programming languages, which represents a barrier for the use of such languages when automating a task. With this in mind, we present IML, a work-in-progress, domain-specific language designed for easy and clear image manipulation. Besides describing the basic constructs and operations of this language, we compared a simple IML program with equivalent implementations in the languages currently supported by the popular image manipulation tool GIMP. This illustrates how IML might make the image editing automation process simpler, easier to learn, and more straightforward.
- Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, and Xiaodong Liu. 2018. Language-based image editing with recurrent attentive models. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 8721--8729.Google Scholar
Cross Ref
- Charisee Chiw, Gordon Kindlmann, John Reppy, Lamont Samuels, and Nick Seltzer. 2012. Diderot: a parallel DSL for image analysis and visualization. In Acm sigplan notices, Vol. 47. ACM, 111--120. Google ScholarDigital Library
- Gierad P Laput, Mira Dontcheva, Gregg Wilensky, Walter Chang, Aseem Agarwala, Jason Linder, and Eytan Adar. 2013. Pixeltone: A multimodal interface for image editing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2185--2194. Google ScholarDigital Library
- Richard Membarth, Oliver Reiche, Frank Hannig, Jürgen Teich, Mario Körner, and Wieland Eckert. 2015. Hipa cc: A domain-specific language and compiler for image processing. IEEE Transactions on Parallel and Distributed Systems 27, 1 (2015), 210--224. Google ScholarDigital Library
- Jonathan Ragan-Kelley, Connelly Barnes, Andrew Adams, Sylvain Paris, Frédo Durand, and Saman Amarasinghe. 2013. Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines. Acm Sigplan Notices 48, 6 (2013), 519--530. Google ScholarDigital Library
Index Terms
- IML - An Image Manipulation Language
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