research-article

Saliency-Aware Video Compression

Authors:

Hadi Hadizadeh,

Ivan V. BajicAuthors Info & Claims

IEEE Transactions on Image Processing, Volume 23, Issue 1

Pages 19 - 33

https://doi.org/10.1109/TIP.2013.2282897

Published: 01 January 2014 Publication History

Abstract

In region-of-interest (ROI)-based video coding, ROI parts of the frame are encoded with higher quality than non-ROI parts. At low bit rates, such encoding may produce attention-grabbing coding artifacts, which may draw viewer's attention away from ROI, thereby degrading visual quality. In this paper, we present a saliency-aware video compression method for ROI-based video coding. The proposed method aims at reducing salient coding artifacts in non-ROI parts of the frame in order to keep user's attention on ROI. Further, the method allows saliency to increase in high quality parts of the frame, and allows saliency to reduce in non-ROI parts. Experimental results indicate that the proposed method is able to improve visual quality of encoded video relative to conventional rate distortion optimized video coding, as well as two state-of-the art perceptual video coding methods.

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Zhang YZhang TWang SYu P(2025)An Efficient Perceptual Video Compression Scheme Based on Deep Learning-Assisted Video Saliency and Just Noticeable DistortionEngineering Applications of Artificial Intelligence10.1016/j.engappai.2024.109806141:COnline publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1016/j.engappai.2024.109806
Qiu YSun YMei JXu J(2024)Deeply Hybrid Contrastive Learning Based on Semantic Pseudo-Label for Salient Object Detection in Optical Remote Sensing ImagesIEEE Transactions on Multimedia10.1109/TMM.2024.341466926(10892-10907)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3414669
Li MBao YSui XLi JLu GXu Y(2024)Learning Content-Weighted Pseudocylindrical Representation for 360° Image CompressionIEEE Transactions on Image Processing10.1109/TIP.2024.347735633(5975-5988)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIP.2024.3477356
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Saliency-Aware Video Compression
1. Computing methodologies
  1. Computer graphics

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cover image IEEE Transactions on Image Processing

IEEE Transactions on Image Processing Volume 23, Issue 1

January 2014

471 pages

ISSN:1057-7149

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IEEE Press

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Published: 01 January 2014

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Zhang YZhang TWang SYu P(2025)An Efficient Perceptual Video Compression Scheme Based on Deep Learning-Assisted Video Saliency and Just Noticeable DistortionEngineering Applications of Artificial Intelligence10.1016/j.engappai.2024.109806141:COnline publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1016/j.engappai.2024.109806
Qiu YSun YMei JXu J(2024)Deeply Hybrid Contrastive Learning Based on Semantic Pseudo-Label for Salient Object Detection in Optical Remote Sensing ImagesIEEE Transactions on Multimedia10.1109/TMM.2024.341466926(10892-10907)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3414669
Li MBao YSui XLi JLu GXu Y(2024)Learning Content-Weighted Pseudocylindrical Representation for 360° Image CompressionIEEE Transactions on Image Processing10.1109/TIP.2024.347735633(5975-5988)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIP.2024.3477356
Zhao XLiang HLi PSun GZhao DLiang RHe X(2024)Motion-Aware Memory Network for Fast Video Salient Object DetectionIEEE Transactions on Image Processing10.1109/TIP.2023.334865933(709-721)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIP.2023.3348659
Chen YAndo SFujiki DTakamaeda-Yamazaki SYoshioka KKim T(2024)OSA-HCIM: On-the-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision ConfigurationProceedings of the 29th Asia and South Pacific Design Automation Conference10.1109/ASP-DAC58780.2024.10473966(539-544)Online publication date: 22-Jan-2024
https://dl.acm.org/doi/10.1109/ASP-DAC58780.2024.10473966
Anitha Kumari RUdupa A(2024)A Novel and Efficient Spatial–Temporal Saliency-Driven Integrated Video CompressionSN Computer Science10.1007/s42979-023-02503-85:3Online publication date: 24-Feb-2024
https://dl.acm.org/doi/10.1007/s42979-023-02503-8
Zhu DShao XZhou QMin XZhai GYang X(2023)A Novel Lightweight Audio-visual Saliency Model for VideosACM Transactions on Multimedia Computing, Communications, and Applications10.1145/357685719:4(1-22)Online publication date: 27-Feb-2023
https://dl.acm.org/doi/10.1145/3576857
Wang ZLiu ZLi GWang YZhang TXu LWang J(2023)Spatio-Temporal Self-Attention Network for Video Saliency PredictionIEEE Transactions on Multimedia10.1109/TMM.2021.313974325(1161-1174)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/TMM.2021.3139743
Zhu LWang XLi PYang XZhang QWang WSchönlieb CChen C(2023)S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object DetectionIEEE Transactions on Multimedia10.1109/TMM.2021.312973025(676-689)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/TMM.2021.3129730
Li GBai ZLiu ZZhang XLing H(2023)Salient Object Detection in Optical Remote Sensing Images Driven by TransformerIEEE Transactions on Image Processing10.1109/TIP.2023.331428532(5257-5269)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/TIP.2023.3314285
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Visual saliency guided video compression algorithm

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