Recent Posts

Unlocking CTV’s Full Ad Potential with Server-Guided Ad Insertion

We all know the trade-offs of Client-Side Ad Insertion (CSAI) and Server-Side Ad Insertion (SSAI). CSAI offers real-time personalization but is vulnerable to ad blockers and playback hiccups, while SSAI ensures smooth playback and circumvents blockers but lacks real-time targeting and can be expensive. Now, a new technology has entered the scene: Server-Guided Ad Insertion (SGAI). But what exactly is …

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Evaluating DeepMind C3: A Low-Complexity Neural Codec with Competitive Compression Efficiency

This paper, entitled, C3: High-performance and low-complexity neural compression from a single image or video, and authored by a team from Google DeepMind (Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Schwarz, and Emilien Dupont), introduces DeepMind C3, a neural compression method designed to deliver low decoding complexity while achieving competitive rate-distortion (RD) performance. The authors are recognized for their contributions …

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Few-Shot Domain Adaptation for Learned Image Compression

The white paper, authored by researchers from the University of Science and Technology of China, introduces a novel approach to addressing the limitations of pre-trained learned image compression (LIC) models. These models, while effective within the domains they were trained on, often falter when applied to new, domain-specific data. To overcome this, the researchers propose lightweight adapters that allow efficient …

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