Video Summarization with AWS AI and ML Services
Upload and summarize videos into short-form videos with voice narration
Overview
Publishers and broadcasters are recognizing that utilizing short video clips is an effective way to gain attention from their younger viewers, especially since many of these individuals are enthusiasts of platforms like TikTok. Therefore, if these industries can discover a more efficient means of generating short video clips from their original content and disseminating them across various social media platforms (such as Facebook, Instagram, and TikTok), they have the potential to attract broader audiences to their services.
Generating video summaries is a manual and time-consuming process due to challenges like understanding complex content, human subjective interpretation, maintaining coherence, diverse video types, and lack of scalability when dealing with a large volume of videos.
Video Summarization with AWS AI and ML Services
Introducing automation through the utilization of artificial intelligence (AI) and machine learning (ML) can make the video summarization process more viable and scalable with automatic content analysis, objective summarization, real-time processing, contextual adaptation, customization and continuous AI/ML system improvement.
The resulting business impact might involve enhanced efficiencies in the content production supply chain, in addition to the ability to engage larger audiences, ultimately leading to increased revenues.
The demo shows an end-to-end workload that allows users to upload, process, and summarize videos into short-form videos with voice narration by leveraging AWS AI/ML service Amazon Transcribe, Amazon SageMaker Jumpstart, and Amazon Polly.
Architecture
The end-to-end solution for video summarization workload consists of five main components:
1. User experience
2. Request management
3. AWS Step Functions workflow orchestration with AWS AI/ML services
4. Media and metadata storage
5. Event-driven services and monitoring
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