The described technology is generally directed an extension to the IFS domains architecture, referred to herein as filter domains. IFS domains allows tagging of files in a tree-like dataset. Thus, a domain can be defined at the root of the dataset such as the topmost directory under which all files reside. These domains are inherently hierarchichal, path-based entities. Filter domains extends this organization to allow domains to be applied beyond hierarchical tree structures in order to also provide arbitrary grouping of file objects based on any suitable membership condition.

A method and apparatus for characteristic-based video processing include: in response to receiving a region of a picture of a video sequence, determining a characteristic in the region, the region being independent of other regions of the picture for video coding; determining a class associated with the region based on the characteristic, the class being selected from a plurality of classes; and encoding the region using a parameter set associated with the class, the parameter set being selected from a plurality of parameter sets for video coding at different quality levels.

This document describes a monitoring system for detecting conditions at a physical premises. The monitoring system can receive, by a computing system, from a video sensor system deployed at the physical premises, block-based encoded video data encoded with a block-based encoder in the video sensor system. The monitoring system can parse, by the computing system, the block-based encoded video data to extract from the block-based encoded data macroblock arrays that correspond to areas of a frame of video data. The monitoring system can reduce, by the computing system, the macroblock arrays to one or more data clusters. The monitoring system can apply, by the computing system, a pattern recognition algorithm to the one or more data clusters to detect patterns in the one or more data clusters.

A method and apparatus for characteristic-based video processing include: in response to receiving a region of a picture of a video sequence, determining a characteristic in the region, the region being independent of other regions of the picture for video coding; determining a class associated with the region based on the characteristic, the class being selected from a plurality of classes; and encoding the region using a parameter set associated with the class, the parameter set being selected from a plurality of parameter sets for video coding at different quality levels.

A method and apparatus for characteristic-based video processing include: in response to receiving a region of a picture of a video sequence, determining a characteristic in the region, the region being independent of other regions of the picture for video coding; determining a class associated with the region based on the characteristic, the class being selected from a plurality of classes; and encoding the region using a parameter set associated with the class, the parameter set being selected from a plurality of parameter sets for video coding at different quality levels.

The present disclosure is directed toward systems and methods for enabling better control over a live video broadcast. For example, systems and methods described herein enable a broadcaster to indicate one or more highlighted portions of a live video broadcast. Systems and method described herein further provide a video broadcast viewer the ability to scrub through the video broadcast directly to the highlighted portions of the live video broadcast.

The present disclosure is directed toward systems and methods for enabling better control over a live video broadcast. For example, systems and methods described herein enable a broadcaster to indicate one or more highlighted portions of a live video broadcast. Systems and method described herein further provide a video broadcast viewer the ability to scrub through the video broadcast directly to the highlighted portions of the live video broadcast.

This document describes a monitoring system for detecting conditions at a physical premises. The monitoring system can receive, by a computing system, from a video sensor system deployed at the physical premises, block-based encoded video data encoded with a block-based encoder in the video sensor system. The monitoring system can parse, by the computing system, the block-based encoded video data to extract from the block-based encoded data macroblock arrays that correspond to areas of a frame of video data. The monitoring system can reduce, by the computing system, the macroblock arrays to one or more data clusters. The monitoring system can apply, by the computing system, a pattern recognition algorithm to the one or more data clusters to detect patterns in the one or more data clusters.

The present disclosure is directed toward systems and methods for enabling better control over a live video broadcast. For example, systems and methods described herein enable a broadcaster to indicate one or more highlighted portions of a live video broadcast. Systems and method described herein further provide a video broadcast viewer the ability to scrub through the video broadcast directly to the highlighted portions of the live video broadcast.

Methods, systems, and media for transforming fingerprints to detect unauthorized media content items are provided. The method comprises: receiving criteria relating to an application of a circumvention technique to one or more video content items, wherein the criteria includes abuse criteria that describes the circumvention technique and a transform for use with the one or more video content items in which the circumvention technique was applied; generating an abuse query that includes at least a portion of the abuse criteria that describes the circumvention technique; determining from a plurality of video content items, a subset of video content items responsive to the abuse query; applying, for each video content item in the subset of video content items, the transform to each video content item to obtain a transformed video content item; generating, for each transformed video content item, a fingerprint that represents the transformed video content item; and comparing the fingerprint of the transformed video content item to a plurality of fingerprints associated with reference video content items to determine whether the video content item corresponding to the transformed video content item matches one of the reference video content items.