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Can LLMs Design Video Coding Tools? A Case Study on Planar Mode

Paper recorded by Signals 4 on 2026-09-01 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-01 on arXiv · recorded by Signals 4 on 2026-09-02

Category: cs.AI · 人工智能 · first seen 2026-09-02

Abstract

This paper explores whether large language models (LLMs) can design video coding tools, a highly challenging task due to the intricate algorithmic coupling of tool modifications. In particular, we present an empirical case study on the Planar mode, a long-standing intra prediction tool in video coding standards. Our experiments operate within a generation-and-evaluation loop, with the LLM generati

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#235 most recent of 300 cs.AI papers we have recorded · ↑ newer: A Mathematical Theory of Reusable Neural Bases for Network Compression · ↓ older: EvoSCM: Scientific Belief Revision Through Causal Model Evolution and
Cite this page: Can LLMs Design Video Coding Tools? A Case Study on Planar Mode: the #235 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-llms-design-video-coding-tools-a-case-study-on-planar-mode.html
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