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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 郭大維(Tei-Wei Kuo) | |
| dc.contributor.author | Chih-Hsuan Yen | en |
| dc.contributor.author | 顏志軒 | zh_TW |
| dc.date.accessioned | 2021-07-11T14:36:32Z | - |
| dc.date.available | 2022-09-04 | |
| dc.date.copyright | 2017-09-04 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2017-08-16 | |
| dc.identifier.citation | [1] A. Al-Shuwaili and O. Simeone. Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications. IEEE Wireless Communications Letters, 6(3):398–401, 2017. [2] S. He, Y. Liu, and H.. Zhou. Optimizing Smartphone Power Consumption Through Dynamic Resolution Scaling. In Proc. of ACM MobiCom, pages 27–39, 2015. [3] R. LiKamWa, B. Priyantha, M. Philipose, Z. Lin, and P. Bahl. Energy Characterization and Optimization of Image Sensing Toward Continuous Mobile Vision. In Proc. of ACM MobiSys, pages 69–82, 2013. [4] Y. Yin, L. Xie, Y. Fan, and S. Lu. Tracking Human Motions in Photographing: A Context-Aware Energy-Saving Scheme for Smart Phones. ACM Trans. on Sensor Networks, 13(4):29:1–29:37, 2017. [5] W.-M. Chen, S.-W. Cheng, P.-C. Hsiu, and T.-W. Kuo. A User-Centric CPU-GPU Governing Framework for 3D Games on Mobile Devices. In Proc. of IEEE/ACM ICCAD, pages 224–231, 2015. [6] K. W. Nixon, X. Chen, H. Zhou, Y. Liu, and Y. Chen. Mobile GPU Power Consumption Reduction via Dynamic Resolution and Frame Rate Scaling. In Proc. of USENIX HotPower, pages 1–5, 2014. [7] A. Maghazeh, U. D. Bordoloi, M. Villani, P. Eles, and Z. Peng. Perception-Aware Power Management for Mobile Games via Dynamic Resolution Scaling. In Proc. of IEEE/ACM ICCAD, pages 613–620, 2015. [8] H. Han, J. Yu, H. Zhu, Y. Chen, J. Yang, G. Xue, Y. Zhu, and M. Li. E3: Energyefficient Engine for Frame Rate Adaptation on Smartphones. In Proc. of ACM Sensys, pages 15:1–15:14, 2013. [9] K. W. Nixon, X. Chen, and Y. Chen. Scope - Quality Retaining Display Rendering Workload Scaling Based on User-smartphone Distance. In Proc. of IEEE/ACM ICCAD, pages 1:1–1:6, 2016. [10] Dongwon Kim, Nohyun Jung, and Hojung Cha. Content-centric Display Energy Management for Mobile Devices. In Proc. of IEEE/ACM DAC, pages 41:1–41:6, 2014. [11] C. Hwang, S. Pushp, C. Koh, J. Yoon, Y. Liu, S. Choi, and J. Song. RAVEN: Perception-aware Optimization of Power Consumption for Mobile Games. In Proc. of ACM MobiCom, pages 422–434, 2017. [12] K. Debattista, K. Bugeja, S. Spina, T. Bashford-Rogers, and V. Hulusic. Frame Rate vs Resolution: A Subjective Evaluation of Spatiotemporal Perceived Quality Under Varying Computational Budgets. Computer Graphics Forum, 37(1):363–374, 2018. [13] J. Joskowicz and J. C. L. Ardao. Combining the Effects of Frame Rate, Bit Rate, Display Size and Video Content in a Parametric Video Quality Model. In Proc. of IFIP LANC, pages 4–11, 2011. [14] D. Kim, N. Jung, and H. Cha. Content-Centric Display Energy Management for Mobile Devices. In Proc. of IEEE/ACM DAC, pages 1–6, 2014. [15] H. Kato and M. Billinghurst. Marker Tracking and HMD Calibration for a Videobased Augmented Reality Conferencing System. In Proc. of IEEE/ACM IWAR, pages 85–94, 1999. [16] K. T. Claypool and M. Claypool. On Frame Rate and Player Performance in First Person Shooter Games. Multimedia Systems, 13(1):3–17, 2007. [17] BT, RECOMMENDATION ITU-R. Methodology for the Subjective Assessment of the Quality of Television Pictures. 2002. [18] Z. Wang, L. Lu, and A. C. Bovik. Video Quality Assessment Based on Structural Distortion Measurement. Signal Processing: Image Communication, 19(2):121– 132, 2004. [19] M. H. Pinson and S. Wolf. A New Standardized Method for Objectively Measuring Video Quality. IEEE Trans. on Broadcasting, 50(3):312–322, 2004. [20] J. Klaue, B. Rathke, and A. Wolisz. EvalVid – A Framework for Video Transmission and Quality Evaluation. In Computer Performance Evaluation. Modelling Techniques and Tools, pages 255–272, 2003. [21] A. E. Kayaalp and J. L. Eckman. A Pipeline Architecture for Near Real-time Stereo Range Detection. In Mobile Robots III, volume 1007, pages 279–288, 1989. [22] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli. Image Quality Assessment: from Error Visibility to Structural Similarity. IEEE Trans. on Image Processing, 13(4):600–612, 2004. [23] A. Bartolini, M. Ruggiero and L. Benini. Visual Quality Analysis for Dynamic Backlight Scaling in LCD Systems. In Proc. of IEEE/ACM DATE, pages 1428–1433, 2009. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/77878 | - |
| dc.description.abstract | 行動裝置在運行擴增實境 (augmented reality, AR) 應用時，工作負載包含大量圖形處理，因而消耗相當可觀的能量。 本篇論文展現一項方案，對於相機擷取的實際影像和機器生成的虛擬物件，根據不同的視覺品質，進行差異化處理。 我們在維持擴增實境應用所需視覺品質的前提下，動態調整幀率 (frame rate) 以減少消耗的能量，並提出一套線上執行的演算法以及能夠實時 (real-time) 進行處理的實作。 我們將我們的方案整合進 Android 系統，並在市場上流通的智慧型手機上，對於不同的應用場景執行大量實驗，以評估系統的效用。 實驗結果顯示，相較於 Android 原生的圖形系統，我們提出的方案在維持令人滿意的視覺品質下，能將能源消耗節省至多39.1%。 | zh_TW |
| dc.description.abstract | Mobile devices running augmented reality applications consume considerable energy for graphics-intensive workloads. This paper presents a scheme for the differentiated handling of camera-captured physical scenes and computer-generated virtual objects according to different perceptual quality metrics. We propose online algorithms and their real-time implementations to reduce energy consumption through dynamic frame rate adaptation while maintaining the visual quality required for augmented reality applications. To evaluate system efficacy, we integrate our scheme into Android and conduct extensive experiments on a commercial smartphone with various application scenarios. The results show that the proposed scheme can achieve energy savings of up to 39.1% in comparison to the native graphics system in Android while maintaining satisfactory visual quality. | en |
| dc.description.provenance | Made available in DSpace on 2021-07-11T14:36:32Z (GMT). No. of bitstreams: 1 U0001-0808201717410000.pdf: 5679845 bytes, checksum: e53cbcd6b03d722c56834a07acfae62e (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 口試委員會審定書 i 中文摘要 iii Abstract iv Contents v List of Figures vi List of Tables vii 1 Introduction 1 2 Background and Motivation 4 2.1 Augmented Reality . . . . . . . . . . 4 2.2 Motivation . . . . . . . . . . . . . 6 3 Differentiated Handling of Physical Scenes and Virtual Objects 8 3.1 Frame Rate Determination for Physical Scenes 8 3.2 Frame Rate Determination for Virtual Objects 10 3.3 Implementation Issues . . . . . . . . 13 4 PERFORMANCE EVALUATION 16 4.1 Experimental Setup . . . . . . . . . 16 4.2 Experimental Results . . . . . . . . 18 5 Concluding Remarks 24 Bibliography 25 | |
| dc.language.iso | en | |
| dc.subject | 擴增實境 | zh_TW |
| dc.subject | 節能 | zh_TW |
| dc.subject | 差異化處理 | zh_TW |
| dc.subject | 視覺品質 | zh_TW |
| dc.subject | 行動裝置 | zh_TW |
| dc.subject | Differentiated handling | en |
| dc.subject | Augmented reality | en |
| dc.subject | Energy savings | en |
| dc.subject | Perceptual quality | en |
| dc.subject | Mobile devices | en |
| dc.title | 相機影像與虛擬物件之差異化處理的擴增實境 | zh_TW |
| dc.title | Differentiated Handling of Camera Images and Virtual Objects for Augmented Reality | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 修丕承(Pi-Cheng Hsiu) | |
| dc.contributor.oralexamcommittee | 劉邦鋒(Pangfeng Liu),徐慰中(Wei-Chung Hsu),楊佳玲(Chia-Lin Yang) | |
| dc.subject.keyword | 擴增實境,差異化處理,節能,視覺品質,行動裝置, | zh_TW |
| dc.subject.keyword | Augmented reality,Differentiated handling,Energy savings,Perceptual quality,Mobile devices, | en |
| dc.relation.page | 27 | |
| dc.identifier.doi | 10.6342/NTU201702796 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2017-08-16 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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