Charter Communications Operating, LLC

Srilal M Weerasinghe

Vipul B Patel

Basil Badawiyeh

Robbie N Mills, Iii

Michael Terada

Gabe Zimbelman

David Chen

Duncan Gold

Erdogan Simsek

Systems and methods for detecting and/or mitigating video artifacts in a video. A processor in a computing device may be configured to receive the video from a video source (e.g., codec or from any other video source compressed or uncompressed) subtract pixel intensities from two consecutive frames in the video to generate a residual, analyze the residual to detect small rectangular shapes, and identifying a video artifact in the video based on a result of the analysis.

Avatar based mitigation of sporadic pixelation in digital video

Methods and apparatus related to characterization of digital content, such as in a content delivery and/or service provider network. In one embodiment, a method is provided for identifying characteristics of digital content by a first-pass analysis of the content data, and subsequent adjustment of results of the first-pass data analysis based on a heuristic analysis. In one variant, the first-pass analysis is based on an extant (COTS) or off-the-shelf analytics framework which generates a result; artificial intelligence and/or machine learning techniques are utilized for analyzing the result based on a multi-source or multivariate analytical framework to enable convergence of a final result having suitable level of accuracy, yet with optimized temporal and processing overhead characteristics. In one implementation, the methods and apparatus are adapted for use in a content distribution network advertisement ingestion processing system.

Methods and apparatus for characterization of digital content

Disclosed herein are embodiments providing coordinated privacy for targeted communications and reporting. In particular, the embodiments provide a source user querying an information system to generally identify target users for a communication campaign. A privacy controller alters a first dataset of a query response by a first alteration quantity for transmission to the source user. The source user then generally identifies target users within the first dataset for development of a communication campaign of targeted communications directed to the target users. Subsequently, a reporting system generates a report with a second dataset detailing viewership by target users. The privacy controller alters a second dataset of a report by a second alteration quantity for transmission to the source user. The second alteration quantity is based on the first alteration quantity. Accordingly, for targeted communication campaigns, the privacy controller maintains individual privacy while also providing accurate reporting.

Coordinated privacy for targeted communications and reporting

Disclosed herein are embodiments providing query validation with automated query modification. In particular, the embodiments provide a computing system that receives a query and determines the query is sensitive. The computing system iteratively modifies the query until the query is not sensitive by modifying the query to increase a scope of the query, updating estimated query results based on the query as modified, and determining whether the query as modified is sensitive based on the estimated query results as updated. Upon determining that the query as modified is not sensitive, the computing system proceeds with the query as modified. Accordingly, the computing system improves query efficiency by automatically modifying a sensitive query.

Query validation with automated query modification

Methods and systems for determining and using disliked content are described. The method includes obtaining, by a service provider system, channel viewing data from a user device of a user, pre-processing, by a content analysis unit, the channel viewing data to mitigate inaccuracies and inconsistencies in the channel viewing data, scaling, by the content analysis unit, the pre-processed channel viewing data to highlight temporal dislike aspects of the pre-processed channel viewing data, applying, by the content analysis unit, machine learning algorithms to the scaled channel viewing data to generate a disliked content ratings matrix, and outputting, by the content analysis unit to user interface systems in the service provider system, to provide enhanced user viewing. The user interface systems including a recommender system, an alternate content generation system, or both.

Growing community of inventors

Parker, CO, United States of America

Srilal M Weerasinghe