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Psycho-visual modulation based information display: introduction and survey |
Ning LIU1, Zhongpai GAO2, Jia WANG3, Guangtao ZHAI3() |
1. Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai 200240, China 2. MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai 200240, China 3. Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China |
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Abstract Industry and academia have been making great efforts in improving refresh rates and resolutions of display devices to meet the ever increasing needs of consumers for better visual quality. As a result, many modern displays have spatial and temporal resolutions far beyond the discern capability of human visual systems. Thus, leading to the possibility of using those display-eye redundancies for innovative usages. Temporal/ spatial psycho-visual modulation (TPVM/SPVM) was proposed to exploit those redundancies to generate multiple visual percepts for different viewers or to transmit non-visual data to computing devices without affecting normal viewing. This paper reviews the STPVM technology from both conceptual and algorithmic perspectives, with exemplary applications in multiview display, display with visible light communication, etc. Some possible future research directions are also identified.
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Keywords
information display
human visual system
spatial frequency
temporal frequency
non-negative matrix decomposition
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Corresponding Author(s):
Guangtao ZHAI
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Issue Date: 11 March 2021
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1 |
X Wu, G Zhai. Temporal psychovisual modulation: a new paradigm of information display [exploratory DSP]. IEEE Signal Processing Magazine, 2013, 30(1): 136–141
https://doi.org/10.1109/MSP.2012.2219678
|
2 |
D H Kelly. Spatio-temporal frequency characteristics of color-vision mechanisms. Journal of the Optical Society America, 1974, 64(7): 983–990
https://doi.org/10.1364/JOSA.64.000983
|
3 |
D Varner, D Jameson, L M Hurvich. Temporal sensitivities related to color theory. Journal of the Optical Society of America A, 1984, 1(5): 474–481
https://doi.org/10.1364/JOSAA.1.000474
|
4 |
T Instruments. DLP discovery 4100 development kit. , 2015
|
5 |
N Corporation. NVIDIA 3D Vision. , 2014
|
6 |
H Ko, J Paik, G Zalewski. Stereoscopic screen sharing method and apparatus. 2010. US Patent App. 12/503,029
|
7 |
N Corporation. Pixel density display listing. , 2018
|
8 |
A Karnik, D Martinez Plasencia, W Mayol-Cuevas, S Subramanian. PiVOT: personalized view-overlays for tabletops. In: Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology. 2012, 271–280
https://doi.org/10.1145/2380116.2380151
|
9 |
G Wetzstein, D Lanman, M Hirsch, R Raskar. Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting. ACM Transactions on Graphics, 2012, 31(4): 80
https://doi.org/10.1145/2185520.2185576
|
10 |
G Ye, A State, H Fuchs. A practical multi-viewer tabletop autostereoscopic display. In: Proceedings of IEEE International Symposium on Mixed and Augmented Reality. 2010, 147–156
https://doi.org/10.1109/ISMAR.2010.5643563
|
11 |
A Karnik, W Mayol-Cuevas, S Subramanian. MUSTARD: a multi user see through AR display. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2012, 2541–2550
https://doi.org/10.1145/2207676.2208641
|
12 |
A Nashel, H Fuchs. Random hole display: a non-uniform barrier autostereoscopic display. In: Proceedings of 3DTV Conference: The True Vision — Capture, Transmission and Display of 3D Video. 2009, 1–4
https://doi.org/10.1109/3DTV.2009.5069665
|
13 |
D Lanman, G Wetzstein, M Hirsch, W Heidrich, R Raskar. Polarization fields: dynamic light field display using multi-layer LCDs. In: Proceedings of the SIGGRAPH Asia Conference. 2011, 1–10
https://doi.org/10.1145/2070781.2024220
|
14 |
G Zhai, X Wu. Multiuser collaborative viewport via temporal psychovisual modulation [applications corner]. IEEE Signal Processing Magazine, 2014, 31(5): 144–149
https://doi.org/10.1109/MSP.2014.2328506
|
15 |
X Wu, G Zhai. Backward compatible stereoscopic displays via temporal psychovisual modulation. In: Proceedings of SIGGRAPH Asia Emerging Technologies. 2012
https://doi.org/10.1145/2407707.2407711
|
16 |
L Jiao, X Shu, X Wu. LED backlight adjustment for backward-compatible stereoscopic display. IEEE Signal Processing Letters, 2013, 20(12): 1203–1206
https://doi.org/10.1109/LSP.2013.2285284
|
17 |
R Ma, O C Au, P Wan, L Xu, W Sun, W Hu. Improved temporal psychovisual modulation for backward-compatible stereoscopic display. In: Proceedings of IEEE Global Conference on Signal and Information Processing. 2014, 1034–1038
https://doi.org/10.1109/GlobalSIP.2014.7032278
|
18 |
Y Chen, G Zhai, J Zhou, Z Wan, L Tang. Global quality of assessment and optimization for the backward-compatible stereoscopic display system. In: Proceedings of IEEE International Conference on Image Processing. 2017, 191–195
https://doi.org/10.1109/ICIP.2017.8296269
|
19 |
W Fujimura, Y Koide, R Songer, T Hayakawa, A Shirai, K Yanaka. 2x3D: real time shader for simultaneous 2D/3D hybrid theater. In: Proceedings of SIGGRAPH Asia Emerging Technologies. 2012, 1–2
https://doi.org/10.1145/2407707.2407708
|
20 |
S Scher, J Liu, R Vaish, P Gunawardane, J Davis. 3D+2DTV: 3D displays with no ghosting for viewers without glasses. ACM Transactions on Graphics, 2013, 32(3): 21
https://doi.org/10.1145/2487228.2487229
|
21 |
Z Gao, G Zhai, X Min. Information security display system based on temporal psychovisual modulation. In: Proceedings of IEEE International Symposium on Circuits and Systems. 2014, 449–452
https://doi.org/10.1109/ISCAS.2014.6865167
|
22 |
C Hu, G Zhai, Z Gao, X Min. Information security display system based on spatial psychovisual modulation. In: Proceedings of IEEE International Conference on Multimedia and Expo. 2014, 1–4
https://doi.org/10.1109/ICME.2014.6890190
|
23 |
Y Chen, N Liu, G Zhai, Z Gao, K Gu. Information security display system on android device. In: Proceedings of IEEE Region 10 Conference. 2016, 1634–1637
https://doi.org/10.1109/TENCON.2016.7848294
|
24 |
X Li, G Zhai, J Wang, K Gu. Portable information security display system via spatial psychovisual modulation. In: Proceedings of IEEE Visual Communications and Image Processing. 2017, 1–4
https://doi.org/10.1109/VCIP.2017.8305058
|
25 |
C Hu, G Zhai, Z Gao, X Min. Simultaneous dual-subtitles exhibition via spatial psychovisual modulation. In: Proceedings of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting. 2014, 1–4
https://doi.org/10.1109/BMSB.2014.6873483
|
26 |
C Hu, G Zhai, Z Gao, X Min. Simultaneous triple subtitles exhibition via temporal psychovisual modulation. In: Proceedings of the 9th IEEE Conference on Industrial Electronics and Applications. 2014, 944–947
https://doi.org/10.1109/BMSB.2014.6873483
|
27 |
W Sun, G Zhai, Z Gao, T Chen, Y Zhu, Z Wang. Dual-view oracle bone script recognition system via temporal-spatial psychovisual modulation. In: Proceedings of IEEE Conference onMultimedia Information Processing and Retrieval. 2020, 193–198
https://doi.org/10.1109/MIPR49039.2020.00047
|
28 |
Z Gao, G Zhai, C Hu, X Min. Dual-view medical image visualization based on spatial-temporal psychovisual modulation. In: Proceedings of IEEE International Conference on Image Processing. 2014
https://doi.org/10.1109/ICIP.2014.7025436
|
29 |
W Fang, G Zhai, X Yang, J Liu, Y Chen. An eye-friendly dual-view projection system using temporal psychovisual modulation. In: Proceedings of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting. 2017, 1–5
https://doi.org/10.1109/BMSB.2017.7986203
|
30 |
G Zhai, X Wu. Defeating camcorder piracy by temporal psychovisual modulation. Journal of Display Technology, 2014, 10(9): 754–757
https://doi.org/10.1109/JDT.2014.2317810
|
31 |
Z Gao, G Zhai, X Wu, X Min, C Zhi. DLP based anti-piracy display system. In: Proceedings of IEEE Conference on Visual Communications and Image Processing. 2014, 145–148
https://doi.org/10.1109/VCIP.2014.7051525
|
32 |
Y Chen, G Zhai, Z Gao, K Gu, W Zhang, M Hu, J Liu. Movie piracy tracking using temporal psychovisual modulation. In: Proceedings of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting. 2017, 1–4
https://doi.org/10.1109/BMSB.2017.7986217
|
33 |
Z Gao, G Zhai, C Hu. The invisible QR code. In: Proceedings of the ACM International Conference on Multimedia. 2015, 675–678
https://doi.org/10.1145/2733373.2806398
|
34 |
X Lu, B You, P Y Lin. Augmented reality via temporal psycho-visual modulation. In: Proceedings of IEEE International Conference on Multimedia Expo Workshops. 2016, 1–4
|
35 |
Q Chen, Y Chen. Polarization based invisible barcode display. In: Proceedings of International Forum on Digital TV and Wireless Multimedia Communication. 2018, 67–77
https://doi.org/10.1007/978-981-10-8108-8_7
|
36 |
S Shi, L Chen, W Hu, M Gruteser. Reading between lines: high-rate, nonintrusive visual codes within regular videos via implicitcode. In: Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing. 2015, 157–168
https://doi.org/10.1145/2750858.2805824
|
37 |
X Wu, X Shu. Combining information display and visible light wireless communication. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing. 2015, 1657–1661
https://doi.org/10.1109/ICASSP.2015.7178252
|
38 |
X Shu, X Wu. Frame untangling for unobtrusive display-camera visible light communication. In: Proceedings of the 24th ACM International Conference on Multimedia. 2016, 650–654
https://doi.org/10.1145/2964284.2967302
|
39 |
K Liu, X Wu, X Shu. On display-camera synchronization for visible light communication. In: Proceedings of Visual Communications and Image Processing. 2015, 1–4
https://doi.org/10.1109/VCIP.2015.7457911
|
40 |
C Hu, G Zhai, Z Gao. Visible light communication via temporal psychovisual modulation. In: Proceedings of the 23rd ACM International Conference on Multimedia. 2015, 785–788
https://doi.org/10.1145/2733373.2807404
|
41 |
W Fang, G Zhai, X Yang. A flash light system for individuals with visual impairment based on TPVM. In: Proceedings of International Conference on Cloud Computing and Big Data. 2016, 362–366
https://doi.org/10.1109/CCBD.2016.077
|
42 |
Y Zhang, G Zhai, J Liu, X Weng, Y Chen. ‘window of visibility’ inspired security lighting system. In: Proceedings of International Conference on Systems, Signals and Image Processing. 2017, 1–5
https://doi.org/10.1109/IWSSIP.2017.7965622
|
43 |
Z Gao, G Zhai, J Zhou. Factorization algorithms for temporal psychovisual modulation display. IEEE Transactions on Multimedia, 2016, 18(4): 614–626
https://doi.org/10.1109/TMM.2016.2523425
|
44 |
J Feng, X Huo, L Song, X Yang, W Zhang. Evaluation of different algorithms of nonnegative matrix factorization in temporal psychovisual modulation. IEEE Transactions on Circuits and Systems for Video Technology, 2014, 24(4): 553–565
https://doi.org/10.1109/TCSVT.2013.2280089
|
45 |
L Wang, G Zhai. Constrained nmf for multiple exhibition on a single display. In: Proceedings of Picture Coding Symposium. 2015, 292–296
https://doi.org/10.1109/PCS.2015.7170093
|
46 |
Z Gao, G Zhai, X Gu, J Zhou. Adapting hierarchical ALS algorithms for temporal psychovisual modulation. In: Proceedings of IEEE International Symposium on Circuits and Systems. 2015, 2756–2759
https://doi.org/10.1109/ISCAS.2015.7169257
|
47 |
Z Gao, G Zhai, J Wang. Spatially-weighted nonnegative matrix factorization with application to temporal psychovisual modulation. Digital Signal Processing, 2017, 67: 123–130
https://doi.org/10.1016/j.dsp.2017.04.010
|
48 |
J Kim, H Park. Fast nonnegative matrix factorization: an active-set-like method and comparisons. SIAM Journal on Scientific Computing, 2011, 33(6): 3261–3281
https://doi.org/10.1137/110821172
|
49 |
D D Lee, H S Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 1999, 401(6755): 788–791
https://doi.org/10.1038/44565
|
50 |
E F Gonzalez, Y Zhang. Accelerating the Lee-Seung algorithm for nonnegative matrix factorization. Department of Computational and Applied Mathematics, Rice University, Houston, TX, Technical Report, TR-05-02, 2005
|
51 |
M W Berry, M Browne, A N Langville, V P Pauca, R J Plemmons. Algorithms and applications for approximate nonnegative matrix factorization. Computational Statistics & Data Analysis, 2007, 52(1): 155–173
https://doi.org/10.1016/j.csda.2006.11.006
|
52 |
J Kim, H Park. Toward faster nonnegative matrix factorization: a new algorithm and comparisons. In: Proceedings of IEEE International Conference on Data Mining. 2008, 353–362
https://doi.org/10.1109/ICDM.2008.149
|
53 |
H Kim, H Park. Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM Journal on Matrix Analysis and Applications, 2008, 30(2): 713–730
https://doi.org/10.1137/07069239X
|
54 |
A Cichocki, P Anh-Huy. Fast local algorithms for large scale nonnegative matrix and tensor factorizations. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2009, 92(3): 708–721
https://doi.org/10.1587/transfun.E92.A.708
|
55 |
N Gillis, F Glineur. Accelerated multiplicative updates and hierarchical als algorithms for nonnegative matrix factorization. Neural Computation, 2012, 24(4): 1085–1105
https://doi.org/10.1162/NECO_a_00256
|
56 |
L Itti, C Koch, E Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(11): 1254–1259
https://doi.org/10.1109/34.730558
|
57 |
E Reinhard, G Ward, S Pattanaik, P Debevec. High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics). San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2005
https://doi.org/10.1016/B978-012585263-0/50010-5
|
58 |
D Li, Z Gao, X P Zhang, G Zhai, X Yang. Generative adversarial networks for non-negative matrix factorization in temporal psycho-visual modulation. Digital Signal Processing, 2020, 100: 102681
https://doi.org/10.1016/j.dsp.2020.102681
|
59 |
Z Gao, G Zhai. Dual-view display based on spatial psychovisual modulation. IEEE Access, 2018, 6: 41356–41366
https://doi.org/10.1109/ACCESS.2018.2857006
|
60 |
R E NÑsÑnen, H T Kukkonen, J M Rovamo. A window model for spatial integration in human pattern discrimination. Investigative Ophthalmology & Visual Science, 1995, 36(9): 1855–1862
|
61 |
S N J Watamaniuk, R Sekuler. Temporal and spatial integration in dynamic random-dot stimuli. Vision Research, 1992, 32(12): 2341–2347
https://doi.org/10.1016/0042-6989(92)90097-3
|
62 |
W Sun, Z Gao, G Zhai, J Zhang, Z Wang, Y Zhu. An improved algorithm for real-time dual-view display. In: Proceedings of IEEE International Symposium on Circuits and Systems. 2020, 1–5
https://doi.org/10.1109/ISCAS45731.2020.9180978
|
63 |
G Zhai, X Min. Perceptual image quality assessment: a survey. Science China Information Sciences, 2020, 63(11): 211301
https://doi.org/10.1007/s11432-019-2757-1
|
64 |
Y Chen, N Liu, G Zhai, K Gu, J Wang, Z Gao, Y Zhu. Quality assessment for dual-view display system. In: Proceedings of Visual Communications and Image Processing. 2016, 1–4
https://doi.org/10.1109/VCIP.2016.7805459
|
65 |
Y Chen, G Zhai, K Gu, X Zhang, W Lin, J Zhou. Benchmarking screen content image quality evaluation in spatial psychovisual modulation display system. In: Proceedings of Pacific Rim Conference on Multimedia. 2018, 629–640
https://doi.org/10.1007/978-3-319-77380-3_60
|
66 |
A L Scherzinger, W R Hendee. Basic principles of magnetic resonance imaging–an update. The Western Journal of Medicine, 1985, 143(6): 782–792
|
67 |
S C Bushong, G Clarke. Magnetic Resonance Imaging: Physical and Biological Principles. Elsevier Health Sciences, 2014
|
68 |
M Lambooij, W IJsselsteijn, I Heynderickx. Visual discomfort of 3d tv: assessment methods and modeling. Displays, 2011, 32(4): 209–218
https://doi.org/10.1016/j.displa.2011.05.012
|
69 |
S A Taylor. CCD and CMOS imaging array technologies: technology review. Xerox Research Centre Europe, Technical Report EPC-1998-106, 1998, 1–14
|
70 |
ISO/IEC. Information technology–automatic identification and data capture techniques–QR Code 2005 bar code symbology specification. , 2006
|
71 |
K Song, N Liu, Z Gao, J Zhang, G Zhai, X P Zhang. Deep restoration of invisible QR code from TPVM display. In: Proceedings of IEEE International Conference on Multimedia & Expo Workshops. 2020, 1–6
https://doi.org/10.1109/ICMEW46912.2020.9105961
|
72 |
S E Siwek. The true cost of copyright industry piracy to the US economy. IPI Center for Technology Freedom, 2007
|
73 |
J Dorning. Intellectual Property Theft: A Threat to U.S. Workers, Industries, and Our Economy. DPE Research Department, 2014
|
74 |
B NEWS. The fact and fiction of camcorder piracy. , 2015
|
75 |
S Byers, L F Cranor, E Cronin, D Korman, P McDaniel. An analysis of security vulnerabilities in the movie production and distribution process. Telecommunications Policy, 2004, 28(78): 619–644
https://doi.org/10.1016/j.telpol.2004.05.007
|
76 |
J Haitsma, T Kalker. A watermarking scheme for digital cinema. In: Proceedings of International Conference on Image Processing. 2001, 487–489
|
77 |
P Nguyen, R Balter, N Montfort, S Baudry. Registration methods for nonblind watermark detection in digital cinema applications. In: Proceedings of Security and Watermarking of Multimedia Contents V. 2003, 553–562
https://doi.org/10.1117/12.479735
|
78 |
J Lubin, J A Bloom, H Cheng. Robust content-dependent high-fidelity watermark for tracking in digital cinema. In: Proceedings of Security and Watermarking of Multimedia Contents V. 2003, 536–545
https://doi.org/10.1117/12.477336
|
79 |
Y Nakashima, R Tachibana, N Babaguchi. Watermarked movie soundtrack finds the position of the camcorder in a theater. IEEE Transactions on Multimedia, 2009, 11(3): 443–454
https://doi.org/10.1109/TMM.2009.2012938
|
80 |
J Davis, Y H Hsieh, H C Lee. Humans perceive flicker artifacts at 500 hz. Scientific Reports, 2015, 5: 7861
https://doi.org/10.1038/srep07861
|
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