Comcast Cable Communications, LLC

Arris Enterprises LLC

Daniel Hillegass

Nishant Doshi

Arvind Mundra

Daniel Grady

Phillip Gabler

Yan Sperling

Andrew Cannone

Pragnesh Rabari

Alexander Cabinian

Krishna Chaitanya Madabooshi

Dipal Patel

Paul Davis

Earl A Crenshaw

Pierre A Brice

Gautam Babbar

Olga Malysheva

Systems, apparatuses, and methods are described for a dynamic network identification to facilitate a selection of a desired audio. A premises (e.g., a public bar) may have a plurality of display devices (e.g., television screens) outputting videos associated with a plurality of content items (e.g., television programs). A computing device may assign an audio data of each of the content items to be transmitted over a separate wireless network. A user may be able to listen to the audio of a desired content item by causing a user device to join a wireless network assigned to transmit an audio data of the desired content item. The wireless network may be reused to transmit a different audio data. A network identifier of the wireless network may be renamed to indicate the different audio data. The network identifier may be based on metadata associated with a content item.

Dynamic network identification

Methods and systems for illuminating a path are described. Data indicating a condition can be received by a lighting device. A light for output by the lighting device can be determined based on a location of the lighting device, such as a location of the lighting device relative to the condition and/or an egress. Data indicating the condition and/or data indicating the light for output can be transmitted to one or more other lighting devices, thereby illuminating a path away from the condition to the egress.

Methods and systems for path lighting

The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Automatic video comparison of the output of a video decoder

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Warrington, PA, United States of America

Daniel Hillegass