A novel video compression model based on GPU virtualization with CUDA platform using bi-directional RNN

Satheesh Kumar, N. J.; Arun, C. H.

doi:10.1007/s41870-023-01456-8

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2024

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Cited by 3 publications

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Opposition-based optimized max pooled 3D convolutional features for action video retrieval

Banerjee,

Megavath,

Kumar

2024

Int. j. inf. tecnol.

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Opposition-based optimized max pooled 3D convolutional features for action video retrieval

Banerjee,

Megavath,

Kumar

2024

Int. j. inf. tecnol.

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Parallel Computing with GPU: An accelerator for Data-Centric High Performance Computing

Siddique,

Ashour

2024

2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR)

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The Best and Most Efficient Video Compression Methods

Saberi,

Forghani,

S. Mirkhalaf

2024

Navigating the World of Multimedia - Innovation and Applications [Working Title]

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In today’s digital era, video compression stands as a crucial element in managing and transmitting multimedia data efficiently. This chapter offers a comprehensive examination and analysis of various video compression techniques, aiming to identify and compare methods based on their effectiveness and efficiency. This chapter begins by exploring classic algorithms such as discrete cosine transform (DCT) and Huffman coding, then transitions to an in-depth analysis of modern standards, including H.264/AVC, H.265/HEVC, and H.266/VVC. It assesses the impact of these methods on image quality, storage requirements, and computational complexity. Additionally, the chapter delves into recent advancements in utilizing artificial intelligence and deep learning to enhance video compression performance and presents innovative techniques in this field. The primary objective of this chapter is to provide practical guidance for selecting the most suitable compression method based on specific user needs and various application scenarios.

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A novel video compression model based on GPU virtualization with CUDA platform using bi-directional RNN

Cited by 3 publications

References 20 publications

Opposition-based optimized max pooled 3D convolutional features for action video retrieval

Opposition-based optimized max pooled 3D convolutional features for action video retrieval

Parallel Computing with GPU: An accelerator for Data-Centric High Performance Computing

The Best and Most Efficient Video Compression Methods

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