Abstract: 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.

Abstract: 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.

Abstract: 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.