Gang Cao V. Apple, Inc. _____
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Zencam: Context-Driven Control of Continuous Vision Body Cameras
UI*OUFSOBUJPOBM$POGFSFODFPO%JTUSJCVUFE$PNQVUJOHJO4FOTPS4ZTUFNT %$044 ZenCam: Context-Driven Control of Continuous Vision Body Cameras Shiwei Fang Ketan Mayer-Patel Shahriar Nirjon UNC Chapel Hill UNC Chapel Hill UNC Chapel Hill [email protected] [email protected] [email protected] Abstract—In this paper, we present — ZenCam, which is an this design suits the purpose in an ideal scenario, in many always-on body camera that exploits readily available information situations, the wearer (e.g., a law-enforcement officer) may in the encoded video stream from the on-chip firmware to not be able to predict the right moment to turn the camera on classify the dynamics of the scene. This scene-context is further combined with simple inertial measurement unit (IMU)-based or may completely forget to do so in the midst of an action. activity level-context of the wearer to optimally control the camera There are some cameras which automatically turns on at an configuration at run-time to keep the device under the desired event (e.g., when a gun is pulled), but they miss the “back- energy budget. We describe the design and implementation of story,” i.e., how the situation had developed. ZenCam and thoroughly evaluate its performance in real-world We advocate that body cameras should be always on so that scenarios. Our evaluation shows a 29.8-35% reduction in energy consumption and 48.1-49.5% reduction in storage usage when they are able to continuously capture the scene for an extended compared to a standard baseline setting of 1920x1080 at 30fps period. -
Systematic Scoping Review on Social Media Monitoring Methods and Interventions Relating to Vaccine Hesitancy
TECHNICAL REPORT Systematic scoping review on social media monitoring methods and interventions relating to vaccine hesitancy www.ecdc.europa.eu ECDC TECHNICAL REPORT Systematic scoping review on social media monitoring methods and interventions relating to vaccine hesitancy This report was commissioned by the European Centre for Disease Prevention and Control (ECDC) and coordinated by Kate Olsson with the support of Judit Takács. The scoping review was performed by researchers from the Vaccine Confidence Project, at the London School of Hygiene & Tropical Medicine (contract number ECD8894). Authors: Emilie Karafillakis, Clarissa Simas, Sam Martin, Sara Dada, Heidi Larson. Acknowledgements ECDC would like to acknowledge contributions to the project from the expert reviewers: Dan Arthus, University College London; Maged N Kamel Boulos, University of the Highlands and Islands, Sandra Alexiu, GP Association Bucharest and Franklin Apfel and Sabrina Cecconi, World Health Communication Associates. ECDC would also like to acknowledge ECDC colleagues who reviewed and contributed to the document: John Kinsman, Andrea Würz and Marybelle Stryk. Suggested citation: European Centre for Disease Prevention and Control. Systematic scoping review on social media monitoring methods and interventions relating to vaccine hesitancy. Stockholm: ECDC; 2020. Stockholm, February 2020 ISBN 978-92-9498-452-4 doi: 10.2900/260624 Catalogue number TQ-04-20-076-EN-N © European Centre for Disease Prevention and Control, 2020 Reproduction is authorised, provided the -
Devices, the Weak Link in Achieving an Open Internet
Smartphones, tablets, voice assistants... DEVICES, THE WEAK LINK IN ACHIEVING AN OPEN INTERNET Report on their limitations and proposals for corrective measures French République February 2018 Devices, the weak link in achieving an open internet Content 1 Introduction ..................................................................................................................................... 5 2 End-user devices’ possible or probable evolution .......................................................................... 7 2.1 Different development models for the main internet access devices .................................... 7 2.1.1 Increasingly mobile internet access in France, and in Europe, controlled by two main players 7 2.1.2 In China, mobile internet access from the onset, with a larger selection of smartphones .................................................................................................................................. 12 2.2 Features that could prove decisive in users’ choice of an internet access device ................ 14 2.2.1 Artificial intelligence, an additional level of intelligence in devices .............................. 14 2.2.2 Voice assistance, a feature designed to simplify commands ........................................ 15 2.2.3 Mobile payment: an indispensable feature for smartphones? ..................................... 15 2.2.4 Virtual reality and augmented reality, mere goodies or future must-haves for devices? 17 2.2.5 Advent of thin client devices: giving the cloud a bigger role? -
Electronic 3D Models Catalogue (On July 26, 2019)
Electronic 3D models Catalogue (on July 26, 2019) Acer 001 Acer Iconia Tab A510 002 Acer Liquid Z5 003 Acer Liquid S2 Red 004 Acer Liquid S2 Black 005 Acer Iconia Tab A3 White 006 Acer Iconia Tab A1-810 White 007 Acer Iconia W4 008 Acer Liquid E3 Black 009 Acer Liquid E3 Silver 010 Acer Iconia B1-720 Iron Gray 011 Acer Iconia B1-720 Red 012 Acer Iconia B1-720 White 013 Acer Liquid Z3 Rock Black 014 Acer Liquid Z3 Classic White 015 Acer Iconia One 7 B1-730 Black 016 Acer Iconia One 7 B1-730 Red 017 Acer Iconia One 7 B1-730 Yellow 018 Acer Iconia One 7 B1-730 Green 019 Acer Iconia One 7 B1-730 Pink 020 Acer Iconia One 7 B1-730 Orange 021 Acer Iconia One 7 B1-730 Purple 022 Acer Iconia One 7 B1-730 White 023 Acer Iconia One 7 B1-730 Blue 024 Acer Iconia One 7 B1-730 Cyan 025 Acer Aspire Switch 10 026 Acer Iconia Tab A1-810 Red 027 Acer Iconia Tab A1-810 Black 028 Acer Iconia A1-830 White 029 Acer Liquid Z4 White 030 Acer Liquid Z4 Black 031 Acer Liquid Z200 Essential White 032 Acer Liquid Z200 Titanium Black 033 Acer Liquid Z200 Fragrant Pink 034 Acer Liquid Z200 Sky Blue 035 Acer Liquid Z200 Sunshine Yellow 036 Acer Liquid Jade Black 037 Acer Liquid Jade Green 038 Acer Liquid Jade White 039 Acer Liquid Z500 Sandy Silver 040 Acer Liquid Z500 Aquamarine Green 041 Acer Liquid Z500 Titanium Black 042 Acer Iconia Tab 7 (A1-713) 043 Acer Iconia Tab 7 (A1-713HD) 044 Acer Liquid E700 Burgundy Red 045 Acer Liquid E700 Titan Black 046 Acer Iconia Tab 8 047 Acer Liquid X1 Graphite Black 048 Acer Liquid X1 Wine Red 049 Acer Iconia Tab 8 W 050 Acer -
Prof. Feng Liu
Prof. Feng Liu Spring 2021 http://www.cs.pdx.edu/~fliu/courses/cs510/ 03/30/2021 Today Course overview ◼ Admin. Info ◼ Computational Photography 2 People Lecturer: Prof. Feng Liu ◼ Room: email for a Zoom appointment ◼ Office Hours: TR 3:30-4:30pm ◼ [email protected] Grader: Zhan Li ◼ [email protected] 3 Web and Computer Account Course website ◼ http://www.cs.pdx.edu/~fliu/courses/cs510/ ◼ Class mailing list [email protected] [email protected] Everyone needs a Computer Science department computer account ◼ Get account at CAT ◼ http://cat.pdx.edu 4 Recommended Textbooks & Readings Computer Vision: Algorithms and Applications ◼ By R. Szeliski ◼ Available online, free Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library ◼ By Adrian Kaehler and Gary Bradski Or its early version Learning OpenCV: Computer Vision with the OpenCV Library ◼ By Gary Bradski and Adrian Kaehler Papers recommended by the lecturers 5 Grading 30%: Readings 20%: In-class paper presentation 50%: Project ◼ 10%: final project presentation ◼ 40%: project quality 6 Readings About 2 papers every week ◼ Write a brief summary for one of the papers Totally less than 500 words 1. What problem is addressed? 2. How is it solved? 3. The advantages of the presented method? 4. The limitations of the presented method? 5. How to improve this method? Submit to [email protected] by 4:00 pm every Thursday ◼ Write in the plain text format in your email directly ◼ No attached document 7 Paper Presentation One paper one student ◼ -
Manovich.Ai Aestheti
AI Aesthetics Lev Manovich Publication data: Strelka Press, December 21, 2018. ASIN: B07M8ZJMYG Abstract: AI plays a crucial role in the global cultural ecosystem. It recommends what we should see, listen to, read, and buy. It determines how many people will see our shared content. It helps us make aesthetic decisions when we create media. In professional cultural production, AI has already been adapted to produce movie trailers, music albums, fashion items, product and web designs, architecture, etc. In this short book, Lev Manovich offers a systematic framework to help us think about cultural uses of AI today and in the future. He challenges existing ideas and gives us new concepts for understanding media, design, and aesthetics in the AI era. “[The Analytical Engine] might act upon other things besides number...supposing, for instance, that the fundamental relations of pitched sounds in the science of harmony and of musical composition were susceptible of such expression and adaptations, the engine might compose elaborate and scientific pieces of music of any degree of complexity or extent.” - Ada Lovelace, 1842 Итак, кто же я такой? С известными оговорками, я и есть то, что люди прошлого называли «искусственным интеллектом». (Виктор Пелевин, iPhuck 10, 2017.) “So who am I exactly? With known caveats, I am what people of the past have called "artificial intelligence."” (Victor Pelevin, iPhuck 10, 2017.) Writing in 1842, Ada Lovelace imagines that in the future, Babbage’s Analytical Engine ( general purpose programmable computer) will be able to create complex music. In the 2017 novel by famous Russian writer Victor Pelevin, set in the late 21th century, the narrator is an algorithm solving crimes and writing novels about them. -
Japan Data Science Consortium Neural Pocket Inc
Science/Technologyを軸に、資本・人材・英知を還流させ、 世界・人類の課題を解決するためのフロンティアを開拓する We pioneer frontiers to solve global issues of humankind, by bringing capital, talent and knowledge, around science and technology INVESTMENT STRATEGY Cutting-edge Science & Technology Identifying science and tech- nology with real-world impact, originating from universities, research institutes, corporations, and governments. Rolling up technologies across organizations. Strong Team Global Markets and F ocus on building strong man- Issues of Humankind agement capabilities that propel T arget global markets from businesses built around tech- inception. nology. Solutions for global issues faced Commitment to create strong by humankind. R&D, operations and manage- ment. Track Record (Selected) August, 2010 July, 2011 September, 2011 February, 2013 Acquired by Yahoo Listed on TSE Mothers Acquired by mixi, Inc Acquired by Google Autonomous Control Systems Laboratory Ltd. June, 2013 Listed on TSE Mothers May, 2015 September, 2017 December, 2018 December, 2015 Listed on Acquired by Listed on TSE Mothers TSE 1st section Acquired by Baidu Japan Inc. O LUXE HOLDINGS LIMITED February, 2019 December, 2019 MBO Listed on TSE Mothers 1 COMPANY OVERVIEW Since 2004, UTEC has established 4 funds amounting to a size approx. 54.3 billion JPY. Founded April 1, 2004 GP The University of Tokyo Edge Capital Co., Ltd. The University of Tokyo Edge Capital Partners Co., Ltd UTEC 4 Limited Partnership Established ....................................................January 17, 2018 General Partners -
Elixirgen Therapeutics, Inc
Science/Technologyを軸に、資本・人材・英知を還流させ、 世界・人類の課題を解決するためのフロンティアを開拓する We pioneer frontiers to solve global issues of humankind, by bringing capital, talent and knowledge, around science and technology Investment strategy Cutting-edge Science & Technology Identifying science and tech- nology with real-world impact, originating from universities, research institutes, corporations, and governments. Rolling up technologies across organizations. Strong Team Global Markets and Focus on building strong man- Issues of Humankind agement capabilities that propel Target global markets from businesses built around tech- inception. nology. Solutions for global issues faced Commitment to create strong by humankind. R&D, operations and manage- ment. Track Record (Selected) June, 2013 Listed on TSE Mothers March, 2009 July, 2011 December, 2015 Listed on Listed on JASDAQ NEO Listed on TSE Mothers TSE 1st section September, 2017 Acquired by August, 2010 September, 2011 O LUXE HOLDINGS LIMITED Acquired by Yahoo Acquired by mixi, Inc February, 2013 May, 2015 December, 2018 Acquired by Google Acquired by Baidu Japan Inc. Listed on TSE Mothers 1 Company overvIew Since 2004, UTEC has established 4 funds amounting to a size approx. 54.3 billion JPY. Founded April 1, 2004 GP The University of Tokyo Edge Capital Co., Ltd. The University of Tokyo Edge Capital Partners Co., Ltd UTEC 4 Limited Partnership Established ....................................................January 17, 2018 General Partners ......................................... UTEC, UTEC Partners LLP Fund -
AUTHORS and MACHINES Jane C
AUTHORS AND MACHINES Jane C. Ginsburg† & Luke Ali Budiardjo†† ABSTRACT Machines, by providing the means of mass production of works of authorship, engendered copyright law. Throughout history, the emergence of new technologies tested the concept of authorship, and courts in response endeavored to clarify copyright’s foundational principles. Today, developments in computer science have created a new form of machine, the “artificially intelligent” (AI) system apparently endowed with “computational creativity.” AI systems introduce challenging variations on the perennial question of what makes one an “author” in copyright law: Is the creator of a generative program automatically the author of the works her process begets, even if she cannot anticipate the contents of those works? Does the user of the program become the (or an) author of an output whose content the user has at least in part defined? This Article frames these and similar questions that generative machines provoke as an opportunity to revisit the concept of copyright authorship in general and to illuminate its murkier corners. This Article examines several fundamental relationships (between author and amanuensis, between author and tool, and between author and co-author) as well as several authorship anomalies (including the problem of “accidental” or “indeterminate” authorship) to unearth the basic principles and latent ambiguities which have nourished debates over the meaning of the “author” in copyright. This Article presents an overarching and internally consistent model of authorship based on two basic pillars: a mental step (the conception of a work) and a physical step (the execution of a work), and defines the contours of these basic pillars to arrive at a cohesive definition of authorship. -
Investment Strategy
Science/Technologyを軸に、資本・人材・英知を還流させ、 世界・人類の課題を解決するためのフロンティアを開拓する We pioneer frontiers to solve global issues of humankind, by bringing capital, talent and knowledge, around science and technology INVESTMENT STRATEGY Cutting-edge Science & Technology Identifying science and tech- nology with real-world impact, originating from universities, research institutes, corporations, and governments. Rolling up technologies across organizations. Strong Team Global Markets and F ocus on building strong man- Issues of Humankind agement capabilities that propel T arget global markets from businesses built around tech- inception. nology. Solutions for global issues faced Commitment to create strong by humankind. R&D, operations and manage- ment. Track Record (Selected) August, 2010 July, 2011 September, 2011 Acquired by Yahoo Listed on TSE Mothers Acquired by mixi, Inc June, 2013 Listed on TSE Mothers February, 2013 December, 2015 Listed on May, 2015 Acquired by Google TSE 1st section Acquired by Baidu Japan Inc. Autonomous Control Systems Laboratory Ltd. September, 2017 December, 2018 February, 2019 Acquired by Listed on TSE Mothers MBO O LUXE HOLDINGS LIMITED 1 COMPANY OVERVIEW Since 2004, UTEC has established 4 funds amounting to a size approx. 54.3 billion JPY. Founded April 1, 2004 GP The University of Tokyo Edge Capital Co., Ltd. The University of Tokyo Edge Capital Partners Co., Ltd UTEC 4 Limited Partnership Established ....................................................January 17, 2018 General Partners ........................................ -
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Big Wave Shoulder Surfing
Big Wave Shoulder Surfing Neil Patil Brian Cui∗ Hovav Shacham [email protected] [email protected] [email protected] University of Texas at Austin University of Texas at Austin University of Texas at Austin ABSTRACT Camera technology continues to improve year over year with ad- vancements in both hardware sensor capabilities and computer vision algorithms. The ever increasing presence of cameras has opened the door to a new class of attacks: the use of computer vi- sion techniques to infer non-digital secrets obscured from view. We prototype one such attack by presenting a system which can recover handwritten digit sequences from recorded video of pen motion. We demonstrate how our prototype, which uses off-the-shelf computer vision algorithms and simple classification strategies, can predict a set of digits that dramatically outperforms guessing, challenging the belief that shielding information in analog form is sufficient to maintain privacy in the presence of camera surveillance. We conclude that addressing these new threats requires a new method of thinking that acknowledges vision-based side-channel attacks Figure 1: An example scenario. Even though the writing is against physical, analog mediums. not visible, the pen’s motion can be observed and the writ- ing reconstructed by a digital camera. Our prototype gener- CCS CONCEPTS alizes this attack to less optimal camera angles, distances, • Security and privacy → Human and societal aspects of se- and image quality. curity and privacy; Security in hardware; • Computing method- ologies → Computer vision. Meanwhile, analog mediums continue to be trusted platforms KEYWORDS for sensitive information. Writing on paper, physical ID cards, and face-to-face meetings are considered more trustworthy and less video camera, computer vision, pen and paper, side-channel attack, accessible to foreign adversaries when compared to digital com- image analysis, mobile devices, motion tracking, handwriting munication.