Microsoft Technology Licensing, LLC

Other

Google Inc.

Denis Sergeyevich Shchepetov

Sridhar Sankuratri

Damien Gerard Saint Macary

Paul Johan Hsieh

Eric F Aas

Disclosed are systems and methods for focusing a digital camera to capture a scene. It is first detected that a change in a scene requires the digital camera to be focused or refocused. The camera focus is automatically scanned from a closest settable distance to farther distances until a first closest object in the scene is detected. Once the first closest object in the scene is detected, the camera focus is set at the distance of the first closest object and a finer scan is executed. In an embodiment, a dynamic movement threshold is calculated and used to determine that the change in scene requires the digital camera to be focused or refocused.

Close focus with GPU

An invention is disclosed for performing differencing of graphical data in post-transform space for a remote presentation session. Graphical data is transformed from a first representation to a second representation (e.g. with a DWT), and then a difference is taken of the post-transform data and the post-transform data of the frame that preceded the current frame. This difference is then encoded and transmitted to a client, which decodes it, and creates a representation of the graphical data using the delta, and a previously determined representation of the previous frame. By performing differencing in post-transform space, fidelity of the remote presentation session is retained while it may decrease bandwidth. This may occur because the entropy of the delta representation is usually lower than a non-delta representation while the scheme retains the identical data of the final decoded image of the non-delta version of the same compression scheme.

Transform space difference compression

An invention is disclosed for performing entropy encoding in a parallelized manner, using a GPU. In embodiments, an input sequence of integers is received, and run-length encoding is performed on any runs of zeros in parallel operations on the GPU. Then, a plurality of parallelized operations are performed on the run-length encoded sequence to entropy encode the sequence. The value N may be entropy encoded using only N and the value that precedes it in the sequence, N&#x2212;1, so the encoding may be sub-divided into multiple operations that may be performed in parallel on the GPU. After entropy encoding is performed, a bitstream may be produced using parallelized operations on the GPU.

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Sunnyvale, CA, United States of America

Denis Sergeyevich Shchepetov