Cloudburst Research,
2009.
HTML Version.
Vendor, Image Stitching. iPhone application for image stitching.
FastCV,
October 2011.
Code, Image Processing.
Code, Computer Vision.
Code, Image Processing, C.
WWW Link. A mobile-optimized library to develop computer vision for the phone.
Optimized for Qualcomm processors, but runs on others.
Snapture Labs, LLC,
2009.
WWW Link.
Vendor, Image Analysis. An iPhone application to add features to the camera (features
more like a real digital camera).
Google Goggles Web Search,
2009.
Vendor, Image Query.
WWW Link. A phone app to search based on an image of the object. E.g., a book, artwork,
location, landmark, etc. From the reviews, in some cases it works well, in
others, less so.
Luo, L.B.[Lin-Bo],
Chen, J.[Jun],
An, S.W.[Sang-Woo],
Wang, C.S.[Chang-Shuai],
Park, J.J.[Jong-Joo],
Li, Y.C.[Ying-Chun],
Chong, J.W.[Jong-Wha],
A Novel Imaging Method for Cell Phone Camera in Low Ambient Light
Conditions Using Flash and No-Flash Image Pairs,
IEICE(E96-D), No. 4, April 2013, pp. 957-962.
WWW Link.
1304
BibRef
Pourreza-Shahri, R.[Reza],
Kehtarnavaz, N.[Nasser],
Automatic exposure selection and fusion for high-dynamic-range
photography via smartphones,
SIViP(11), No. 8, November 2017, pp. 1437-1444.
WWW Link.
1710
BibRef
Earlier:
Exposure bracketing via automatic exposure selection,
ICIP15(320-323)
IEEE DOI
1512
Exposure bracketing
BibRef
Li, Z.,
Kaafar, M.A.,
Salamatian, K.,
Xie, G.,
Characterizing and Modeling User Behavior in a Large-Scale Mobile
Live Streaming System,
CirSysVideo(27), No. 12, December 2017, pp. 2675-2686.
IEEE DOI
1712
IEEE 802.11 Standard, Mobile communication, Mobile computing,
Performance evaluation, Smart phones, Streaming media, Analysis,
user behavior
BibRef
Niu, W.[Wei],
Li, Z.G.[Zhen-Gang],
Ma, X.L.[Xiao-Long],
Dong, P.Y.[Pei-Yan],
Zhou, G.[Gang],
Qian, X.[Xuehai],
Lin, X.[Xue],
Wang, Y.Z.[Yan-Zhi],
Ren, B.[Bin],
GRIM: A General, Real-Time Deep Learning Inference Framework for
Mobile Devices Based on Fine-Grained Structured Weight Sparsity,
PAMI(44), No. 10, October 2022, pp. 6224-6239.
IEEE DOI
2209
Real-time systems, Optimization, Mobile handsets, Kernel,
Computational modeling, Recurrent neural networks,
mobile computing
BibRef
Ma, X.L.[Xiao-Long],
Niu, W.[Wei],
Zhang, T.Y.[Tian-Yun],
Liu, S.J.[Si-Jia],
Lin, S.[Sheng],
Li, H.J.[Hong-Jia],
Wen, W.J.[Wu-Jie],
Chen, X.[Xiang],
Tang, J.[Jian],
Ma, K.S.[Kai-Sheng],
Ren, B.[Bin],
Wang, Y.Z.[Yan-Zhi],
An Image Enhancing Pattern-based Sparsity for Real-time Inference on
Mobile Devices,
ECCV20(XIII:629-645).
Springer DOI
2011
BibRef
Shaker, A.[Abdelrahman],
Maaz, M.[Muhammad],
Rasheed, H.[Hanoona],
Khan, S.[Salman],
Yang, M.H.[Ming-Hsuan],
Khan, F.S.[Fahad Shahbaz],
SwiftFormer: Efficient Additive Attention for Transformer-based
Real-time Mobile Vision Applications,
ICCV23(17379-17390)
IEEE DOI Code:
WWW Link.
2401
BibRef
Ofir, A.[Amir],
Ben-Artzi, G.[Gil],
SMM-Conv: Scalar Matrix Multiplication with Zero Packing for
Accelerated Convolution,
MobileAI22(3066-3074)
IEEE DOI
2210
Deep learning, Memory management,
Network architecture, Kernel
BibRef
Munir, M.[Mustafa],
Avery, W.[William],
Marculescu, R.[Radu],
MobileViG: Graph-Based Sparse Attention for Mobile Vision
Applications,
MobileAI23(2211-2219)
IEEE DOI
2309
BibRef
Park, D.[Daehee],
Kim, J.M.[Jeong Min],
Jung, J.[Jingi],
Choi, S.[Saemi],
Method to Create a Metaverse Using Smartphone Data,
VAMR22(I:45-57).
Springer DOI
2206
BibRef
Hsyu, M.C.[Ming-Chun],
Liu, C.W.[Chih-Wei],
Chen, C.H.[Chao-Hung],
Chen, C.W.[Chao-Wei],
Tsai, W.C.[Wen-Chia],
CSANet: High Speed Channel Spatial Attention Network for Mobile ISP,
MAI21(2486-2493)
IEEE DOI
2109
Performance evaluation, Runtime, Pipelines, Network architecture,
Service-oriented architecture, Image restoration
BibRef
Du, Z.[Zongcai],
Liu, J.[Jie],
Tang, J.[Jie],
Wu, G.S.[Gang-Shan],
Anchor-based Plain Net for Mobile Image Super-Resolution,
MAI21(2494-2502)
IEEE DOI
2109
Training, Quantization (signal),
Computational modeling, Superresolution, Random access memory
BibRef
Ignatov, A.[Andrey],
Chiang, C.M.[Cheng-Ming],
Kuo, H.K.[Hsien-Kai],
Sycheva, A.[Anastasia],
Timofte, R.[Radu],
Chen, M.H.[Min-Hung],
Lee, M.Y.[Man-Yu],
Xu, Y.S.[Yu-Syuan],
Tseng, Y.[Yu],
Xu, S.S.[Shu-Song],
Guo, J.[Jin],
Chen, C.H.[Chao-Hung],
Hsyu, M.C.[Ming-Chun],
Tsai, W.C.[Wen-Chia],
Chen, C.W.[Chao-Wei],
Malivenko, G.[Grigory],
Kwon, M.[Minsu],
Lee, M.[Myungje],
Yoo, J.[Jaeyoon],
Kang, C.B.[Chang-Beom],
Wang, S.[Shinjo],
Shaolong, Z.[Zheng],
Dejun, H.[Hao],
Fen, X.[Xie],
Zhuang, F.[Feng],
Ma, Y.P.[Yi-Peng],
Peng, J.Y.[Jing-Yang],
Wang, T.[Tao],
Song, F.L.[Feng-Long],
Hsu, C.C.[Chih-Chung],
Chen, K.L.[Kwan-Lin],
Wu, M.H.[Mei-Hsuang],
Chudasama, V.[Vishal],
Prajapati, K.[Kalpesh],
Patel, H.[Heena],
Sarvaiya, A.[Anjali],
Upla, K.[Kishor],
Raja, K.[Kiran],
Ramachandra, R.[Raghavendra],
Busch, C.[Christoph],
de Stoutz, E.[Etienne],
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI
2021 Challenge: Report,
MAI21(2503-2514)
IEEE DOI
2109
Image Signal Processing.
Runtime, Pipelines, Neural networks, Signal processing algorithms,
Signal processing, Cameras, Real-time systems
BibRef
Ignatov, A.[Andrey],
Malivenko, G.[Grigory],
Timofte, R.[Radu],
Chen, S.[Sheng],
Xia, X.[Xin],
Liu, Z.Y.[Zhao-Yan],
Zhang, Y.W.[Yu-Wei],
Zhu, F.[Feng],
Li, J.S.[Jia-Shi],
Xiao, X.F.[Xue-Feng],
Tian, Y.[Yuan],
Wu, X.L.[Xing-Long],
Kyrkou, C.[Christos],
Chen, Y.X.[Yi-Xin],
Zhang, Z.X.[Ze-Xin],
Peng, Y.[Yunbo],
Lin, Y.[Yue],
Dutta, S.[Saikat],
Das, S.D.[Sourya Dipta],
Shah, N.A.[Nisarg A.],
Kumar, H.[Himanshu],
Ge, C.[Chao],
Wu, P.L.[Pei-Lin],
Du, J.H.[Jin-Hua],
Batutin, A.[Andrew],
Federico, J.P.[Juan Pablo],
Lyda, K.[Konrad],
Khojoyan, L.[Levon],
Thanki, A.[Abhishek],
Paul, S.[Sayak],
Siddiqui, S.[Shahid],
Fast and Accurate Quantized Camera Scene Detection on Smartphones,
Mobile AI 2021 Challenge: Report,
MAI21(2558-2568)
IEEE DOI
2109
Runtime, Image analysis, Computational modeling,
Cameras, Real-time systems
BibRef
Ignatov, A.[Andrey],
Romero, A.[Andres],
Kim, H.[Heewon],
Timofte, R.[Radu],
Ho, C.M.[Chiu Man],
Meng, Z.[Zibo],
Lee, K.M.[Kyoung Mu],
Chen, Y.X.[Yu-Xiang],
Wang, Y.T.[Yu-Tong],
Long, Z.[Zeyu],
Wang, C.H.[Chen-Hao],
Chen, Y.F.[Yi-Fei],
Xu, B.S.[Bo-Shen],
Gu, S.H.[Shu-Hang],
Duan, L.X.[Li-Xin],
Li, W.[Wen],
Wang, B.F.[Bo-Fei],
Zhang, D.K.[Dian-Kai],
Cheng-Jian, Z.[Zheng],
Shaoli, L.[Liu],
Si, G.[Gao],
Zhang, X.F.[Xiao-Feng],
Lu, K.D.[Kai-Di],
Xu, T.Y.[Tian-Yu],
Hui, Z.[Zheng],
Gao, X.B.[Xin-Bo],
Wang, X.M.[Xiu-Mei],
Guo, J.M.[Jia-Ming],
Zhou, X.Y.[Xue-Yi],
Jia, H.[Hao],
Yan, Y.L.[You-Liang],
Real-Time Video Super-Resolution on Smartphones with Deep Learning,
Mobile AI 2021 Challenge: Report,
MAI21(2535-2544)
IEEE DOI
2109
Performance evaluation, Runtime, Superresolution,
Graphics processing units, Streaming media, Real-time systems, Hardware
BibRef
Pouget, A.[Angeline],
Ramesh, S.[Sidharth],
Giang, M.[Maximilian],
Chandrapalan, R.[Ramithan],
Tanner, T.[Toni],
Prussing, M.[Moritz],
Timofte, R.[Radu],
Ignatov, A.[Andrey],
Fast and Accurate Camera Scene Detection on Smartphones,
MAI21(2569-2580)
IEEE DOI
2109
Performance evaluation, Deep learning, Image analysis,
Computational modeling, Cameras, Robustness, Mobile handsets
BibRef
Ignatov, A.,
Timofte, R.,
Kulik, A.,
Yang, S.,
Wang, K.,
Baum, F.,
Wu, M.,
Xu, L.,
Van Gool, L.J.,
AI Benchmark: All About Deep Learning on Smartphones in 2019,
AIM19(3617-3635)
IEEE DOI
2004
Android (operating system), computer graphic equipment,
inference mechanisms, learning (artificial intelligence),
SoCs
BibRef
Kokkinos, F.[Filippos],
Lefkimmiatis, S.[Stamatis],
Iterative Residual CNNs for Burst Photography Applications,
CVPR19(5922-5931).
IEEE DOI
2002
Use multiple images for improving quality. I.e. smart phone imaging.
BibRef
Ehmann, J.,
Chu, L.,
Tsai, S.,
Liang, C.,
Real- Time Video Denoising on Mobile Phones,
ICIP18(505-509)
IEEE DOI
1809
Noise reduction, Interpolation, Streaming media, Real-time systems,
Laplace equations, Merging, Sensors, video denoising,
pyramid decomposition
BibRef
Ignatov, A.[Andrey],
Timofte, R.[Radu],
Vu, T.V.[Thang Van],
Luu, T.M.[Tung Minh],
Pham, T.X.[Trung X.],
Nguyen, C.V.[Cao Van],
Kim, Y.[Yongwoo],
Choi, J.S.[Jae-Seok],
Kim, M.C.[Mun-Churl],
Huang, J.[Jie],
Ran, J.W.[Jie-Wen],
Xing, C.[Chen],
Zhou, X.G.[Xing-Guang],
Zhu, P.F.[Peng-Fei],
Geng, M.R.[Ming-Rui],
Li, Y.W.[Ya-Wei],
Agustsson, E.[Eirikur],
Gu, S.H.[Shu-Hang],
Van Gool, L.J.[Luc J.],
de Stoutz, E.[Etienne],
Kobyshev, N.[Nikolay],
Nie, K.[Kehui],
Zhao, Y.[Yan],
Li, G.[Gen],
Tong, T.[Tong],
Gao, Q.Q.[Qin-Quan],
Liu, H.W.[Han-Wen],
Michelini, P.N.[Pablo Navarrete],
Dan, Z.[Zhu],
Hu, F.S.[Feng-Shuo],
Hui, Z.[Zheng],
Wang, X.M.[Xiu-Mei],
Deng, L.R.[Li-Rui],
Meng, R.[Rang],
Qin, J.H.[Jing-Hui],
Shi, Y.[Yukai],
Wen, W.[Wushao],
Lin, L.[Liang],
Feng, R.C.[Rui-Cheng],
Wu, S.X.[Shi-Xiang],
Dong, C.[Chao],
Qiao, Y.[Yu],
Vasu, S.[Subeesh],
Madam, N.T.[Nimisha Thekke],
Kandula, P.[Praveen],
Rajagopalan, A.N.,
Liu, J.[Jie],
Jung, C.[Cheolkon],
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report,
PerceptualRest18(V:315-333).
Springer DOI
1905
BibRef
Farah, F.,
El Alaoui, M.,
El Khadiri, K.,
Qjidaa, H.,
Lakhassassi, A.,
A design of a new resistor string DAC for phones applications in
130nm technology,
ISCV18(1-4)
IEEE DOI
1807
CMOS integrated circuits, digital-analogue conversion, resistors,
CMOS, CMOS technology, deglitch circuit,
phones applications
BibRef
Sun, B.,
Yang, L.,
Dong, P.,
Zhang, W.,
Dong, J.,
Young, C.,
Ultra Power-Efficient CNN Domain Specific Accelerator with
9.3TOPS/Watt for Mobile and Embedded Applications,
EfficientDeep18(1758-17588)
IEEE DOI
1812
Engines, Convolution, Hardware, Power demand, Integrated circuits,
Process control, Image coding
BibRef
Choi, Y.,
Park, J.S.,
Kim, L.S.,
Hardware-Centric Vision Processing for Mobile IoT Environment
Exploiting Approximate Graph Cut in Resistor Grid,
WACV17(778-786)
IEEE DOI
1609
Algorithm design and analysis, Fuses, Hardware,
Mobile communication, Resistors, Robots, Visualization
BibRef
Viquez, K.D.C.,
Arandjelovic, O.,
Blaikie, A.,
Hwang, I.A.,
Synthesising Wider Field Images from Narrow-Field Retinal Video
Acquired Using a Low-Cost Direct Ophthalmoscope (Arclight) Attached
to a Smartphone,
BioIm17(90-98)
IEEE DOI
1802
Cameras, Image edge detection, Medical services, Mobile handsets,
Optics, Retina, Shape
BibRef
Liu, J.[Jie],
Jung, C.[Cheolkon],
Multiple Connected Residual Network for Image Enhancement on
Smartphones,
PerceptualRest18(V:182-196).
Springer DOI
1905
BibRef
Hui, Z.[Zheng],
Wang, X.M.[Xiu-Mei],
Deng, L.R.[Li-Rui],
Gao, X.B.[Xin-Bo],
Perception-Preserving Convolutional Networks for Image Enhancement on
Smartphones,
PerceptualRest18(V:197-213).
Springer DOI
1905
BibRef
Luqman, M.M.[Muhammad Muzzamil],
Gomez-Krämer, P.[Petra],
Ogier, J.M.[Jean-Marc],
Mobile Phone Camera-Based Video Scanning of Paper Documents,
CBDAR13(164-178).
Springer DOI
1404
BibRef
Hürst, W.[Wolfgang],
Darzentas, D.[Dimitri],
Quantity versus quality: the role of layout and interaction complexity
in thumbnail-based video retrieval interfaces,
ICMR12(45).
DOI Link
1301
thumbnail layouts and the interaction methods for video
retrieval on smartphones.
BibRef
Papadopoulos, S.[Symeon],
Bakalli, J.[Juxhin],
Kompatsiaris, Y.[Yiannis],
Schinas, E.[Emmanouil],
Cluster-based photo browsing and tagging on the go,
ICMR12(60).
DOI Link
1301
Smartphone application for browsing and tagging of landmark and event photos.
BibRef
Zeng, X.[Xiao],
Xie, X.H.[Xiao-Hui],
Wang, K.Q.[Kong-Qiao],
Instant video summarization during shooting with mobile phone,
ICMR11(40).
DOI Link
1301
Segment boundaries and key frames are
extracted without any delay.
BibRef
Hartl, A.[Andreas],
Arth, C.[Clemens],
Schmalstieg, D.[Dieter],
Instant segmentation and feature extraction for recognition of simple
objects on mobile phones,
IWMV10(17-24).
IEEE DOI
1006
See also Real-time object recognition using local features on a DSP-based embedded system.
BibRef
Xiong, Y.G.[Yin-Gen],
Pulli, K.A.[Kari A.],
Fast image stitching and editing for panorama painting on mobile phones,
IWMV10(47-52).
IEEE DOI
1006
BibRef
Hannuksela, J.[Jari],
Sangi, P.[Pekka],
Heikkila, J.[Janne],
Liu, X.[Xu],
Doermann, D.[David],
Document Image Mosaicing with Mobile Phones,
CIAP07(575-582).
IEEE DOI
0709
See also Adaptive Motion-Based Gesture Recognition Interface for Mobile Phones.
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Pipelined Processors and Algorithms .