A Quality-Scalable Depth-Aware Video Processing System

被引:0
|
作者
Cheng, Chao-Chung [1 ]
Li, Chung-Te [1 ]
Tsai, Yi-Min [1 ]
Chen, Liang-Gee [1 ]
机构
[1] Natl Taiwan Univ, Grad Inst Elect Engn, Taipei 10764, Taiwan
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The three-dimensional (3D) displays provide a dramatic improvement of visual quality over the 2D displays. To produce high quality three-dimensional contents, depth map generation is the major issue in content creation. In this paper, we propose a quality-scalable depth-aware video processing system which retrieves depth maps using hybrid depth cues from single view video content. The system uses a hardware-oriented algorithm and generates spectacular and comfortable results. With the help of the depth map, 2D videos can be converted to 3D format and can be displayed in 3D/Stereoscopic displays by depth image-based rendering technique. Moreover, for conventional 2D displays, we also propose a 2D video depth perception enhancement application. With the depth-dependent parameter adjustment, the stereo effect of the 2D content is also enhanced.
引用
收藏
页码:123 / 126
页数:4
相关论文
共 50 条
  • [31] Depth-Aware Display Using Synthetic Refocusing
    Suh, Sungjoo
    Yi, Kwonju
    Choi, Changkyu
    Park, Du Sik
    Kim, Chang Yeong
    IDW'11: PROCEEDINGS OF THE 18TH INTERNATIONAL DISPLAY WORKSHOPS, VOLS 1-3, 2011, : 429 - 432
  • [32] Adaptive depth-aware visual relationship detection
    Gan, Ming-Gang
    He, Yuxuan
    KNOWLEDGE-BASED SYSTEMS, 2022, 247
  • [33] DaGAN plus plus : Depth-Aware Generative Adversarial Network for Talking Head Video Generation
    Hong, Fa-Ting
    Shen, Li
    Xu, Dan
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 46 (05) : 2997 - 3012
  • [34] ZoomShop: Depth-Aware Editing of Photographic Composition
    Liu, Sean J.
    Agrawala, Maneesh
    DiVerdi, Stephen
    Hertzmann, Aaron
    COMPUTER GRAPHICS FORUM, 2022, 41 (02) : 57 - 70
  • [35] DAnet: DEPTH-AWARE NETWORK FOR CROWD COUNTING
    Van-Su Huynh
    Hoang Tran
    Huang, Ching-Chun
    2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, : 3001 - 3005
  • [36] Dast-Net: Depth-Aware Spatio-Temporal Network for Video Deblurring
    Zhu, Qi
    Xiao, Zeyu
    Huang, Jie
    Zhao, Feng
    Proceedings - IEEE International Conference on Multimedia and Expo, 2022, 2022-July
  • [37] Depth-Aware Neural Style Transfer for Videos
    Ioannou, Eleftherios
    Maddock, Steve
    COMPUTERS, 2023, 12 (04)
  • [38] Depth-Aware Object Tracking With a Conditional Variational Autoencoder
    Huang, Wenhui
    Gu, Jason
    Guo, Yinchen
    IEEE ACCESS, 2021, 9 : 94537 - 94547
  • [39] Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
    Li, Weihuang
    Shen, Xi
    Li, Haolun
    Bi, Xiuli
    Liu, Bo
    Pun, Chi-Man
    Cun, Xiaodong
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 19218 - 19227
  • [40] Learning depth-aware features for indoor scene understanding
    Chen, Suting
    Shao, Dongwei
    Zhang, Liangchen
    Zhang, Chuang
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (29) : 42573 - 42590