Compact video content representation for video coding using low multi-linear tensor rank approximation with dynamic core tensor order

DOI10.1007/S40314-017-0539-5zbMath1398.68630OpenAlexW2769217728MaRDI QIDQ1993646

Suganya A, Dejey Dharma

Publication date: 5 November 2018

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-017-0539-5

zbMATH Keywords

video codingLMLRALZ77 codingweighted MIN-MAX quantization

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Orthogonal matrices (15B10)

Uses Software

• Tensorlab

Cites Work

• A fuzzy video content representation for video summarization and content-based retrieval.
• The triangle method for finding the corner of the L-curve
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• A literature survey of low-rank tensor approximation techniques
• A Review of Tensors and Tensor Signal Processing
• A universal algorithm for sequential data compression

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