Alex Chapiro

I am a Senior Researcher at Dolby Laboratories, where I work on human perception and display technologies. I previously worked at Disney Research in Zurich, advised by Aljoscha Smolic.

I did my PhD at ETH Zurich, where I was advised by Markus Gross at the Computer Graphics Laboratory. I did my masters at IMPA in the Visgraf lab and my bachelors at the Federal University of Juiz de Fora.

Email / CV / Biography / Thesis / Google Scholar / LinkedIn

Research

I am interested in image and video processing, computational capture and display, stereo 3D, HDR, applied perception and virtual reality. Most of my research deals with creating and then displaying high quality content on novel displays.

	Unfolding the 8-bit Era Zund, Berard, Chapiro, Schmid, Ryffel, Bermano, Gross, Sumner. European Conference on Visual Media Production (CVMP) , 2015 project page / bibtex We created an immersive gaming system out of a legacy console. This work received wide media attention and was presented at the Ludicious game festival in Zurich.
	Art-Directable/Continuous Dynamic Range Video Chapiro, Aydin, Stefanoski, Croci, Smolic, Gross. Computers and Graphics (CG&A) , 2015 project page / bibtex We defined the production and distribution challenges facing the content creation industry in the current HDR landscape and proposed Continuous Dynamic Range video as a solution.
	Video Content and Structure Description Based on Keyframes, Clusters and Storyboards Junyent, Beltran, Farre, Pont-Tuset, Chapiro, Smolic. Computers and Graphics (CG&A) , 2015 video / bibtex We developed a pipeline to segment and analyze video. Our technique could be applied for smarter editing.
	Stereo from Shading Chapiro, O'Sullivan, Jarosz, Gross, Smolic. Eurographics Symposium on Rendering (EGSR) , 2015 project page / bibtex / supplementary We use non-photorealistic shading as an alternative 3D cue, augmenting the feeling of depth in stereoscopic images.
	Perceptual Evaluation of Cardboarding in 3D Content Visualization Chapiro, O'Sullivan, Jarosz, Gross, Smolic. ACM Symposium on Applied Perception (SAP), 2014 project page / bibtex We conducted perceptual experiments to quantify cardboarding - an artifact that occurs when not enough depth is given to a stereoscopic 3D image region.
	Optimizing Stereo-to-Multiview Conversion for Autostereoscopic Displays Chapiro, Heinzle, Aydin, Poulakos, Zwicker, Smolic, Gross. Eurographics, 2014 project page / bibtex We measured perceptual aspects of autostereo content and created a depth re-mapping algorithm that tries to optimize content so that the most important regions have a fuller sense of depth while staying within the limits of the technology.
	Towards Mobile HDR Video Castro, Chapiro, Cicconet, Velho. extended abstract in Eurographics, 2011 video We created a capture and processing pipeline to generate HDR video on a mobile phone by taking sequential multiple exposures.
	Detection of High Frequency Regions in Multiresolution Mota, Perez, Castro, Chapiro, Vieira. International Conference on Image Processing (ICIP), 2009 We improved our edge detector by using eigenvalues.
	High Frequency Assessment from Multiresolution Analysis Castro, Perez, Mota, Chapiro, Vieira, Freire. International Conference on Computational Science (ICCS), 2009 We detected high frequencies using an orientation tensor and multiresolution.
Posters:
	The Influence of Visual Salience on Video Consumption Behavior A Survival Analysis Approach Huber, Scheibehenne, Chapiro, Frey, Sumner. ACM Web Science, 2015 long paper version We found that visual saliency can be used as a predictor for video watching behavior in online platforms.
	Filter Based Deghosting for Exposure Fusion Video Chapiro, Cicconet, Velho. SIGGRAPH, 2011 video We used an aditional per-pixel parameter to avoid ghosting from motion when generating exposure-fusion videos on a mobile phone. (Student research competition semi-finalist)
	Towards Mobile HDR Video Castro, Chapiro, Cicconet, Velho. International Conference on Computational Photography (ICCP), 2011 video We created a capture and processing pipeline to generate HDR video on a mobile phone by taking sequential multiple exposures.

Additional publications available upon request.

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Posters: