Disney Enterprises, Inc.

Eth Zurich (eidgenossische Technische Hochschule Zurich)

Eth Zurich (eidgenoessische Technische Hochschule Zurich)

Eth Zürich (Eidgenössische Technische Hochschulze Zürich)

Markus Gross

Sasha Schriber

Max Grosse

Maria Cabral

Rebekkah Laeuchli

Isabel Simo

Barbara Solenthaler

Adriano Galati

Wojciech Matusik

Oliver Wang

Miquel Angel Farre Guiu

Aljoscha Smolic

Nikolce Stefanoski

Aljosa A Smolic

Simon Heinzle

Jean-Charles Bazin

Peter Kaufmann

Pierre Greisen

Kenneth Mitchell

Merada Richter

Isa Simo

Hagen Friedrich Seifert

David Sinclair

Sohyeon Jeong

Severin Klingler

Tanja Kaeser

Simone Meier

Alex Sorkine-Hornung

Stephan Veen

Nicola Ranieri

Thomas Gross

Stefan Mangold

A system for managing non-linear transmedia content data is provided. Memory stores a plurality of transmedia content data items and associated linking data which define time-ordered content links between the plurality of transmedia content data items. The plurality of transmedia content data items are arranged into linked transmedia content subsets comprising different groups of the transmedia content data items and different content links therebetween. A control engine receives one or more instructions to create a new time-ordered content link between at least two of the plurality of transmedia content data items. The control engine modifies the linking data stored in the memory to include the new time-ordered content link.

Architecture for managing transmedia content data

The invention relates to systems and methods for manipulating non-linearly connected transmedia content, in particular for creating, processing and/or managing non-linearly connected transmedia content and for tracking content creation and attributing transmedia content to one or more creators. Specifically, the invention involves creating a transmedia content data item by a first user and storing the transmedia content data item in a data store, along with a record indicating an association between the first user and the transmedia content data item; creating an ordered group of transmedia content data items by a second user, the ordered group comprising a pointer to the transmedia content data item of the first user; and storing the ordered group and a record associating both the first user and the second user with the ordered group in the data store.

Creation of non-linearly connected transmedia content data

Disclosed is a system for linking transmedia content subsets. A memory stores a plurality of transmedia content data items and associated linking data, which define time-ordered content links between the transmedia content data items. The transmedia content data items are arranged into linked transmedia content subsets comprising different groups of the transmedia content data items and different content links therebetween; a transmedia content model that represents the transmedia content data items as nodes and the content links between the transmedia content data items as edges in one or more time-varying graphs. A processor is configured to associate the transmedia content data items with the time-ordered content links and store the linking data in the memory. It assigns the transmedia content data items to nodes of a graph structure, assign the time-ordered content links to edges of the graph structure, and store them in the transmedia content model.

User modelling and metadata of transmedia content data

The invention relates to systems and methods for navigating, outputting and displaying non-linearly connected groups of transmedia content. Specifically, the invention involves retrieving, from a database, an ordered group of transmedia content data objects comprising a plurality of transmedia content data objects and linking data, whereby each element of the linking data defines a directional link from one of the transmedia content data objects to another of the transmedia content data objects; generating a two-dimensional graph structure representing the ordered group of transmedia content data objects whereby each graph node corresponds to a transmedia content data object and each graph edge corresponds to an element of the linking data; and outputting the graph structure on a display screen.

Manipulation of non-linearly connected transmedia content data

The present invention relates to systems and methods for manipulating non-linearly connected transmedia content, in particular for creating, processing and managing non-linearly connected transmedia content. The disclosure includes content creation modes and version control systems for non-linearly connected transmedia content data, in which individual transmedia content data items are connected to either other via directional linking data.

The present disclosure relates to an apparatus, system and method for processing transmedia content data. More specifically, the disclosure provides for identifying and inserting one item of media content within another item of media content, e.g. inserting a video within a video, such that the first item of media content appears as part of the second item. The invention involves analysing a first visual media item to identify one or more spatial locations to insert the second visual media item within the image data of the first visual media item, detecting characteristics of the one or more identified spatial locations, transforming the second visual media item according to the detected characteristics and combining the first visual media item and second visual media item by inserting the transformed second visual media item into the first visual media item at the one or more identified spatial locations.

System for optimized embedding and analysis of branded content

A recommender engine is configured to access memory and surface transmedia content items; and/or linked transmedia content subsets; and/or one or more identifications of identified users; and/or content items of the plurality of transmedia content items associated with at least one identified user. The surfaced items are presented for selection by the given user via the transmedia content linking engine as one or more user-selected transmedia content items.

Recommender engine and user model for transmedia content data

A method is provided for rendering a representation of and interacting with transmedia content on an electronic device. Transmedia content data is received at the electronic device. The transmedia content data comprises: a plurality of transmedia content data items; linking data which define time-ordered content links between the plurality of transmedia content data items, whereby the plurality of transmedia content data items are arranged into linked transmedia content subsets comprising different groups of the transmedia content data items and different content links therebetween; a visualization model of the transmedia content data; and a hierarchical structure of the linked transmedia content subsets and clusters of linked transmedia content subsets. A representation of the transmedia content data is rendered at the electronic device by processing the visualization model of the transmedia content data and the hierarchical structure to map some or all of the transmedia content at a first level of the hierarchical structure onto the representation of the transmedia content.

Rendering and interacting with transmedia content data

A method of rendering content items on a display via an electronic device involves mapping linked content items to a three-dimensional object defined by layout data. The layout data is then transmitted to an electronic device for display.

Visualisation and navigation of transmedia content data

A closed-loop control system for stereoscopic video capture is provided. At least two motorized lenses are positioned in accordance with specified parameters to capture spatially-disparate images of a scene. The motorized lenses focus light on a corresponding one of the at least two sensors, which generate image streams. One or more processors execute instructions to provide a stream analyzer and a control module. The stream analyzer receives the image streams from the sensors and analyzes the image streams and the specified parameters in real time; the stream analyzer then modifies the image streams and generates metadata. The control module then receives and analyzes the image streams and metadata and transmits updated parameters to a control mechanism that is coupled to the at least two motorized lenses. The control mechanism then modifies operation of the at least two motorized lenses in real time in accordance with the updated parameters.

Computational stereoscopic camera system

Growing community of inventors

Burbank, CA, United States of America

Markus Gross