Recent advances in AI and Deep Learning algorithms enable video compression to move beyond the direct processing of image pixels. These methods allow for the extraction and learning of intricate features and patterns within video content, facilitating more precise and effective compression solutions.
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The video compression method involves the layers are divided into different groups for data processing, using CNN to remove the duplicate frames, repeating the ...
In this paper we propose a novel Effective and Efficient video compression by the Deep Learning framework based on the flask, which creatively combines the Deep ...
Nov 25, 2022 · In this paper we propose a novel Effective and Efficient video compression by the Deep Learning framework based on the flask, which creatively ...
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This paper introduces flask-based Deep Learning video compression. Good treatment results. This technique expertly blends Deep Learning's adversarial generative ...
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Dec 26, 2024 · This chapter begins by exploring classic algorithms such as discrete cosine transform (DCT) and Huffman coding, then transitions to an in-depth ...
Jun 28, 2023 · The paper mainly focuses on a precise, organized, meticulous review of the impact of deep learning on video compression. The content adaptivity ...
Sep 17, 2024 · This survey embeds DL-based computer vision approaches, with hardware accelerators like GPU and FPGA, to minimize the complexity of in a model.
Video compression is a critical component of Internet video delivery. Recent work has shown that deep learning techniques can rival or outperform ...
Dec 25, 2024 · Contributions. 1) We propose an efficient rate control scheme for deep video compression, leveraging neural network-based prediction directly ...