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Smart Asset re-Use in Creative Environments

Deliverables

Lightfield Assets for SAUCE

Lightfield Assets for SAUCE (R, PU, M18) is the set of captured assets in 4D- resp. 5D-lightfield format stored in an asset inventory accessible for all SAUCE partners, as well as the documentation of this inventory.

Project Handbook and Quality Plan

Project Handbook and Quality Plan (R, PU, M2) contains general operational information including contact details, reporting processes, communication protocols, document templates and numbering methods, logos et cetera. Quality plan elements include information about technical quality control, risk logs and the procedures for risk monitoring, decision-making and conflict resolution.

Project Website

Project Website (DEC, PU, M6). A high quality multimedia website where public deliverables and information will be housed.

Initial demo of Tools to transform asset representation

Initial demo of tools to transform asset representation (DEM, PU, M15) will show asset types and their capabilities being recognized by the framework for linking together.

Animation pipeline and demo of new runtime rig

Animation pipeline and demo of new runtime rig (DEM, PU, M6) will be a technical demo showcasing the real time Inverse Kinematics rig generation given an input of animation assets and associated mesh and skeleton. This will result in a virtual character whose animation can be procedurally modified during runtime based on the identification of key end-effectors and how the user wishes to drive them.

Working framework to handle relationship contexts between scene and people

Working framework to handle relationship contexts between scene and people (DEM, PU, M18) A framework for learning relationships and context between a scene and people in it, and synthesizing a scene with interacting people.

Basic framework to enable asset transform

Basic framework to enable asset transform (DEM, PU, M18) • A framework for describing arbitrary sets of transformations. • A set of tools that can perform the transformations, and advertise their capabilities to a search engine and asset management system. • Methods for indicating/specifying properties to drive the transformation and measure appropriateness.

Tools to validate and upgrade assets

Tools to validate and upgrade assets (DEM, PU, M18). The set of tools will comply with the criteria of WP4T2.

Smart Search Framework POC

Smart Search Framework POC (DEM, PU, M12). Proof-of-concept (POC) demonstration of how the framework and mock-up User Interface will work using a reduced set of descriptors.

Searching for OpenAIRE data...

Publications

Statistics of natural images as a function of dynamic range

Author(s): Antoine Grimaldi, David Kane, Marcelo Bertalmío
Published in: Journal of Vision, Issue 19/2, 2019, Page(s) 13, ISSN 1534-7362
DOI: 10.1167/19.2.13

A reevaluation of Whittle (1986, 1992) reveals the link between detection thresholds, discrimination thresholds, and brightness perception

Author(s): David Kane, Marcelo Bertalmío
Published in: Journal of Vision, Issue 19/1, 2019, Page(s) 16, ISSN 1534-7362
DOI: 10.1167/19.1.16

Light field compression by superpixel based filtering and pseudo-temporal reordering

Author(s): Harini Hariharan; Thorsten Herfet
Published in: International Conference on Consumer Electronics (ICCE), 2018

Color matching images with unknown non-linear encodings

Author(s): Gil Rodríguez R, Vazquez-Corral J, Bertalmío M.
Published in: Transactions on Image Processing (TIP), 2018

Photorealistic Style Transfer for Cinema Shoots

Author(s): Itziar Zabaleta, Marcelo Bertalmio
Published in: 2018 Colour and Visual Computing Symposium (CVCS), 2018, Page(s) 1-6
DOI: 10.1109/cvcs.2018.8496499

In-camera, Photorealistic Style Transfer for On-set Automatic Grading

Author(s): Itziar Zabaleta, Marcelo Bertalmio
Published in: SMPTE 2018, 2018, Page(s) 1-12
DOI: 10.5594/m001835

Influence of Ambient Chromaticity on Portable Display Color Appearance

Author(s): Trevor Canham, Michael J. Murdoch, David Long
Published in: SMPTE 2018, 2018, Page(s) 1-15
DOI: 10.5594/m001810

Convolutional Neural Networks Deceived by Visual Illusion

Author(s): Alexander Gomez-Villa, Adrian Martin, Javier Vazquez-Corral, Marcelo Bertalmio
Published in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019