Microsoft Technology Licensing, LLC

Intel Corporation

Moshe David

Eyal Krupka

Aviv Hurvitz

Xuedong D Huang

Wei Xiong

Amit Kumar Agarwal

Adi Diamant

Lijuan Qin

Xiong Xiao

Shixiong Zhang

Karen Master Ben-Dor

Ido Leichter

Yoni Smolin

Raz Halaly

Lingfeng Wu

Ilya Gurvich

Itai Steiner

Gaby Prechner

Qingfen Lin

Kobi Kopelman

Alex Orenov

Arash Ghanaie-sichanie

In a system including a processor and memory, the memory includes instructions that, when executed by the processor, cause the processor to control the system to perform receiving a video stream capturing objects; identifying, based on the received video stream, object areas corresponding to the objects, respectively; tracking the object areas in the received video stream; generating, based on the tracking of the object areas, visual data sets at a plurality of times, wherein each visual data set is generated at a different time and includes visual data representing each object area; determining a priority of each visual data in each visual data set; selecting, based on the determined priority of each visual data, a group of the visual data to be transmitted to a remote system; and transmitting, to the remote system, the selected group of the visual data.

Object data generation for remote image processing

A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Computerized intelligent assistant for conferences

Some demonstrative embodiments include apparatuses, systems and/or methods of estimating a location of a mobile device. For example, an apparatus may include a radio to receive location information including locations of a plurality of detected access points; and a location estimator to select from the plurality of detected access points a plurality of selected access points, based on the location information, and to estimate a location of the mobile device based on communications from the plurality of selected access points.

Apparatus, system and method of estimating a location of a mobile device

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Bney Braq, Israel

Moshe David