Zoe Liu Discusses Visionular's AI-Driven Future of Video Encoding скачать в хорошем качестве

Zoe Liu Discusses Visionular's AI-Driven Future of Video Encoding

In this detailed interview, Jan Ozer speaks with Zoe Liu, CEO and Co-Founder of Visionular, to discuss the application of AI in Visionular's video compression technologies. The conversation covers a range of topics including the introduction of Visionular's codecs, the role of AI in enhancing video compression, and the various products and services offered by Visionular. Contents 00:00: Introduction 01:17: Visionular's Core Focus - Zoe Liu discusses the company's specialization in video compression technologies. 02:34: Role of AI in Visionular's Products - Explanation of how AI is integrated into Visionular's services. 04:22: Content Adaptive AI Compression - Details on Visionular's approach to adaptive AI for video compression. 06:23: Visionular's Encoder as SDK - Discussion on providing the encoder as an SDK for various integrations. 07:09: Scene Classification with AI - The importance of scene classification in Visionular's encoding process. 08:56: Differentiating Content Types with AI - How AI helps in identifying different types of video content for better compression. 10:53: Evolution of AI in Visionular's Codecs - Zoe Liu reflects on how AI has been integrated from the beginning and its evolving role. 12:04: Impact of AI on Compression Efficiency - The tangible benefits of incorporating AI into Visionular's compression technologies. 15:50: Comparing Visionular to Open Source - Discussion on the performance of Visionular's codecs compared to open-source solutions. 19:25: Customer Success Stories - Zoe Liu shares examples of how customers benefit from Visionular's technologies. 23:48: AI Without Heavy Hardware - Explaining how Visionular leverages AI for compression without relying on GPUs. 24:08: Efficiency on Edge Devices - Discussion on deploying Visionular's encoder on edge devices and optimizing for different platforms. 25:50: Small-Scale Neural Networks - The use of compact neural networks in Visionular's technology for efficiency and performance. 28:58: AI Decisions in Encoding - How Visionular employs AI to make encoding decisions, enhancing video quality with minimal resource usage. 31:13: Addressing Encoding Challenges - Solutions for specific video encoding challenges, like motion artifacts, using AI. 33:49: Measuring Compression Efficiency - Conversation on the metrics used to evaluate compression efficiency and the impact of AI. 36:03: Customer Success and Feedback - Examples of how Visionular's solutions have been successfully implemented by customers. 38:00: AI's Role Without GPUs - Explaining the use of AI in Visionular's encoding processes without the need for GPU hardware. 40:58: Compression Efficiency Gains from AI - Zoe Liu discusses the overall improvement in compression efficiency attributed to AI. About This Video: This is another in a series of interviews recorded to produce this session at the NAB 2024 Streaming Summit - AI TRACK: Beyond the Hype: A Critical Look at AI in Video Streaming. STREAMING SUMMIT. Monday, April 15 | 1:30 PM - 2:00 PM PST/Pass Required: Streaming Summit Pass Description: Artificial intelligence has become a buzzword in all technologies, including streaming video, with the promise of revolutionizing how we create, compress, and watch videos. However, it's crucial to separate the hype from reality. In this session, Jan Ozer from the Streaming Learning Center explores the most recent streaming-related AI announcements to detail which to dismiss, which will become relevant, and when. https://nab24.mapyourshow.com/8_0/ses...