Video-genre-classification

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention describes a method and system for reliably classifying the genre of a video sequence. The approach uses multiple detector modules, each specialized for a specific genre (such as cartoon, commercial, music, news, or sport), to analyze the video and output probability scores. A combiner analyzes these probabilities using different algorithms (including statistical rules and support vector machines) to make a final, robust determination of the video’s genre, or to flag if the result is unreliable.

Use CasesContent extracted from patent full text and abstract with AI.

• Automatic genre tagging of TV shows, movies, and online videos for content libraries and streaming platforms
• Real-time genre classification for electronic program guides or smart TVs
• Personalized content filtering and recommendation systems based on user preferences
• Assisting legal/compliance teams in monitoring and flagging specific genres (e.g., advertisements) in broadcast streams
• Enhancing video search and organization in large video databases
• Automated metadata generation for multimedia content management systems

BenefitsContent extracted from patent full text and abstract with AI.

• Increases reliability and accuracy in recognizing video genres by combining multiple independent detection methods
• Reduces manual effort required to label or organize video content by automating the genre classification process
• Enables real-time or near-real-time applications due to efficient algorithms and system setup
• Can be adapted to new or custom genres by updating or adding detector modules
• Helps bridge the semantic gap between human perception of genres and machine analysis, improving automated understanding of multimedia
• Supports flexible integration into a wide range of content management, recommendation, or compliance solutions

Technical Classifications (CPCs)

Inventors & Applicants

Patent Abstract

An exemplary embodiment of the invention relates to a method for classifying a video sequence (VS), characterized by the steps of analyzing the video sequence using a plurality of genre-specific detector modules (M1-M5), each genre-specific detector module providing a probability value (P1-P5) indicating the probability that the video sequence belongs to the genre assigned to the genre-specific detector module; and analyzing the probability values of the plurality of genre-specific detector modules using a combiner (CM) which analyzes said probability values and generates a classification signal (SC) classifying the video sequence as belonging to a specific genre (g).