AUTOMATED PREVIEW GENERATION FOR VIDEO ENTERTAINMENT CONTENT

Smart overview of the Invention

A novel approach focuses on automatically generating previews for video entertainment content by analyzing various segments of the video. Emotion-related features are extracted from these segments, and a subset is selected based on specific filtering criteria, including emotion-based filters. Each selected segment is assigned a weighted preview-suitability score, which considers its similarity to the plot summary of the video. This scoring system aids in selecting and combining segments to create an engaging preview.

Challenges Faced by Content Providers

Video content providers range from large corporations to independent creators, with varying resources for generating promotional materials like previews. While larger companies often have dedicated teams for this task, independent artists may struggle due to limited resources. The automated preview generation system aims to level the playing field by providing an efficient solution that can be utilized by all types of content creators.

System and Workflow Description

The system leverages cloud-based analytics services to streamline the preview generation process. A workflow is established where video content, along with associated audio and plot summaries, is submitted to the analytics service. The video is then segmented using partitioning algorithms that detect scene boundaries based on visual properties. Each segment undergoes feature extraction, including emotion-related metrics, which are crucial for creating a compelling preview.

Customization and User Experience

The generated previews can be customized for different devices and audience preferences, enhancing viewer engagement. After generating a proposed preview, content creators can utilize user-friendly editing interfaces to make adjustments based on their insights. This flexibility allows for tailored previews that avoid revealing excessive plot details while still enticing potential viewers.

Technological Advantages

This automated system not only reduces resource consumption in preparing previews but also improves the overall experience for both content creators and consumers. By employing machine learning techniques and a knowledge base of genre-specific heuristics, the system can efficiently generate informative previews that resonate with audiences while maintaining their enjoyment of the full video content.