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  1. No Access

    Chapter and Conference Paper

    Pixel-Level Sonar Image JND Based on Inexact Supervised Learning

    The Just Noticeable Difference (JND) model aims to identify perceptual redundancies in images by simulating the perception of the Human Visual System (HVS). Exploring the JND of sonar images is important for t...

    Qianxue Feng, Mingjie Wang, Weiling Chen in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Self-supervised Indoor 360-Degree Depth Estimation via Structural Regularization

    Estimating \(360^{\circ }\) 360 ∘ ...

    Weifeng Kong, Qiudan Zhang, You Yang in PRICAI 2022: Trends in Artificial Intellig… (2022)

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    Chapter and Conference Paper

    Video Playback Quality Evaluation Based on User Expectation and Memory

    The Video Quality Assessment (VQA) has been attracting attentions of image processing community due to its applications in evaluation and optimization of user experience during video playback. Until now, the r...

    Shuyi Ji, Liqun Lin, Yiwen Xu, Weiling Chen, Nan Chen, Tiesong Zhao in Image and Graphics (2021)

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    Chapter and Conference Paper

    QoE Assessment and Management of MV/3D Video Services

    The measurements of Quality of Experience (QoE) are essential to research for better analysis and optimization of Multi-View and 3D (MV/3D) videos. However, there is a lack of systematic description of QoE mec...

    Yiwen Xu, **gquan Huang, Wei Liu in Digital TV and Wireless Multimedia Communi… (2021)

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    Chapter and Conference Paper

    Reconstruction of Multi-view Video Based on GAN

    There is a huge amount of data in multi-view video which brings enormous challenges to the compression, storage, and transmission of video data. Transmitting part of the viewpoint information is a prior soluti...

    Song Li, Chengdong Lan, Tiesong Zhao in Advances in Multimedia Information Process… (2018)

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    Chapter and Conference Paper

    Latitude-Based Visual Attention in 360-Degree Video Display

    With the ever-growing availability of Virtual Reality (VR) products, the 360-degree video has a widespread application prospect, which also brings new challenges to its quality assessment. Considering its unco...

    Huiwen Huang, Yiwen Xu, **ling Chen in Advances in Multimedia Information Process… (2018)

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    Chapter and Conference Paper

    Fast Mode Decision Based on Optimal Stop** Theory for Multiview Video Coding

    Optimal stop** theory is developed to achieve a good trade-off between decision performance and decision efforts such as the consumed decision time. In this paper, the optimal stop** theory is applied to f...

    Hanli Wang, Yue Heng, Tiesong Zhao, Bo **ao in Advances in Multimedia Modeling (2013)

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    Chapter and Conference Paper

    Adaptive Rate-Distortion Prediction for Multiple Reference Selection and Inter-mode Decision

    To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selectio...

    Tiesong Zhao, Yun Zhang, Sam Kwong in Advances in Multimedia Information Process… (2012)

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    Chapter and Conference Paper

    Fast Inter-Mode Decision Based on Rate-Distortion Cost Characteristics

    In this paper, a new fast mode decision (FMD) algorithm is proposed for the state-of-the-art video coding standard H.264/AVC. Firstly, based on Rate-Distortion (RD) cost characteristics, all inter modes are cl...

    Sudeng Hu, Tiesong Zhao, Hanli Wang in Advances in Multimedia Information Process… (2010)

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    Chapter and Conference Paper

    Two-Dimensional Map Based Fast Mode Decision for H.264/AVC

    The state-of-the-art video coding standard H.264/AVC achieves significant coding performance improvement by choosing the rate-distortion (RD) optimized encoding mode from a list of candidate modes at the cost ...

    Tiesong Zhao, Hanli Wang, **angyang Ji in Advances in Multimedia Information Process… (2008)