Warner Bros. Entertainment Inc.

Thomson Consumer Electronics Inc.

Michael D Smith

Bradley Collar

Christopher E Nolan

Christopher DeFaria

Alix Martin

Mathematical relationships between the scene geometry, camera parameters, and viewing environment are used to control stereography to obtain various results influencing the viewer's perception of 3D imagery. The methods may include setting a horizontal shift, convergence distance, and camera interaxial parameter to achieve various effects. The methods may be implemented in a computer-implemented tool for interactively modifying scene parameters during a 2D-to-3D conversion process, which may then trigger the re-rendering of the 3D content on the fly.

Methods for controlling scene, camera and viewing parameters for altering perception of 3D imagery

Methods, apparatus and systems for geometric matching of virtual reality (VR) or augmented reality (AR) output contemporaneously with video output formatted for display on a 2D screen include a determination of value sets that when used in image processing cause an off-screen angular field of view of the at least one of the AR output object or the VR output object to have a fixed relationship to at least one of the angular field of view of the onscreen object or of the 2D screen. The AR/VR output object is outputted to an AR/VR display device and the user experience is improved by the geometric matching between objects observed on the AR/VR display device and corresponding objects appearing on the 2D screen.

Geometry matching in virtual reality and augmented reality

Efficient image compression for video data characterized by a non-neutral dominant white point is achieved by transforming the input video signal into a de-correlated video signal based on a color difference encoding transform, wherein the color difference encoding transform is adapted based on the dominant white point using an algorithm. The adapting algorithm is designed for optimizing low-entropy output when the white point is other than a neutral or equal-energy value. Decompression is handled conversely.

Method and apparatus for color difference transform

Efficient image compression for video data characterized by a non-neutral dominant white point is achieved by transforming the input video signal into a de-correlated video signal based on a color difference encoding transform, wherein the color difference encoding transform is adapted based on the dominant white point using an algorithm. The adapting algorithm is designed for optimizing low-entropy output when the white point is other than a neutral or equal-energy value.

A method for determining which of similar video fields may be excised to enhance video signal compression evaluates parameters of four successive fields denoted 0, 1, 2, and 3. Accumulated differences d(0, 2) and d(1,3) of corresponding pixels in successive frames are generated. In addition a determination is made whether fields 1 and 2 exhibit interlace characteristics. If they do not exhibit interlaced characteristics, a comparison is made of d(0, 2) and d(1, 3). If d(0, 2) is less than d(1, 3) by a predetermined amount, field 2 is excised from the signal stream and a code is generated to condition a receiver to display two of the remaining four fields in a three field interval. Subsequently the latter two fields of the set of 0, 1, 2 and 3 fields, and the next two occurring fields are similarly analyzed.

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Santa Monica, CA, United States of America

Michael D Smith