10 years ago
Thursday, August 17, 2017
Thursday, August 10, 2017
Deep Learning in Photography
Intelligent Portrait Composition Assistance, Farshid Farhat, Mohammad Mahdi Kamani, Sahil Mishra, James Wang, ACM Multimedia 2017, Mountain View, CA, USA.
ABSTRACT: Retrieving photography ideas corresponding to a given location facilitates the usage of smart cameras, where there is a high interest among amateurs and enthusiasts to take astonishing photos at anytime and in any location. Existing research captures some aesthetic techniques such as the rule of thirds, triangle, and perspective-ness, and retrieves useful feedbacks based on one technique. However, they are restricted to a particular technique and the retrieved results have room to improve as they can be limited to the quality of the query. There is a lack of a holistic framework to capture important aspects of a given scene and give a novice photographer informative feedback to take a better shot in his/her photography adventure. This work proposes an intelligent framework of portrait composition using our deep-learned models and image retrieval methods. A highly-rated web-crawled portrait dataset is exploited for retrieval purposes. Our framework detects and extracts ingredients of a given scene representing as a correlated hierarchical model. It then matches extracted semantics with the dataset of aesthetically composed photos to investigate a ranked list of photography ideas, and gradually optimizes the human pose and other artistic aspects of the composed scene supposed to be captured. The conducted user study demonstrates that our approach is more helpful than the other constructed feedback retrieval systems.
Sunday, July 30, 2017
System and methods for UICC-based secure communication US 9461993 B2
A system that incorporates the subject disclosure may include, for example,
instructions which when executed cause a device processor to perform
operations comprising sending a service request to a remote management
server; receiving from the management server an authentication management
function and an encryption key generator for execution by a secure element and
an encryption engine for execution by a secure device processor, sending a
request to establish a communication session with a remote device; and
communicating with the remote device via a channel established using an
application server. The secure element and the secure device processor
authenticate each other using a mutual authentication keyset. The secure element, the secure device processor and the device processor each have a security
level associated therewith; the security level associated with the secure device processor is intermediate between that of the secure element and that of the device
processor. Other embodiments are disclosed.
REFERENCES
1 "3rd Generation Partnership Project; Technical Specification Group Core Network and Terminals; Characteristics of the Universal Subscriber
Identity Module (USIM) application", Release 11, 2012.
2 "3rd Generation Partnership Project; Technical Specification Group Core Network and Terminals; Remote APDU Structure for (U)SIM Toolkit
applications", Release 10, 2012.
3 "3rd Generation Partnership Project; Technical Specification Group Core Network and Terminals; Secured packet structure for (Universal)
Subscriber Identity Module (U)SIM Toolkit applications", Release 10, 2012.
4 "3rd Generation Partnership Project; Technical Specification Group Core Network and Terminals; UICCterminal interface; Physical and logical
characteristics", Release 10, 2011.
5 "3rd Generation Partnership Project; Technical Specification Group Core Network and Terminals; Universal Subscriber Identity Module (USIM)
Application Toolkit (USAT)", Release 11, 2012.
6 "GlobalPlatform Card Confidential Card Content Management Card Specification v2.2Amendment A", 2011.
7 "GlobalPlatform Card Contactless Services Card Specification v2.2Amendment C", 2012.
8 "GlobalPlatform Card Remote Application Management over HTTP Card Specification v2.2Amendment B", 2012.
9 "GlobalPlatform Card Security Upgrade for Card Content Management Card Specification v 2.2Amendment E", 2011.
10 "GlobalPlatform Card Specification", Version 2.2.1, 2011.
11 "GlobalPlatform Card Technology Secure Channel Protocol 03 Card Specification v 2.2Amendment D", 2009.
12 "GlobalPlatform Device Secure Element Remote Application Management", May 2011.
13 "GlobalPlatform Device Technology Secure Element Access Control", Version 1.0, May 2012.
14 "GlobalPlatform Device Technology TEE System Architecture", Dec. 2011.
15 "GlobalPlatform Key Management System", Functional Requirements, Nov. 2003.
16 "GlobalPlatform System Messaging Specification for Management of MobileNFC Services", Feb. 2011.
17 "OverTheAir Platform Security Review", Mandiant Intelligent Information Security, 6 pgs., Aug. 17, 2010.
18 Farhat, F., et al. Private Identification, Authentication and Key Agreement Protocol with Security Mode Setup. IACR Cryptology ePrint Archive, 2011.
19 "Reprogrammable SIMs: Technology, Evolution and Implications", csmg, Sep. 25, 2012.
20 "Secure Authentication for Mobile Internet Services"Sim Alliance, Dec. 2011 http://simalliance.org/wpcontent/uploads/2015/03/120101WPSIMallianceSecureAuthenticationENV1.1.pdf.
21 "Smart Cards; Card Application Tookit (CAT)", Release 11, 2012.
22 "Smart Cards; ETSI numbering system for telecommunication application providers", Release 11, 2011.
23 "Smart Cards; Machine to Machine UICC; Physical and logical characteristics", Release 9, 2011.
24 "Smart Cards; Remote APDU structure for UICC based applications", Release 11, 2012.
25 "Smart Cards; Secured packet structure for UICC based applications", Release 11, 2012.
26 "Smart Cards; Security mechanisms for UICC based ApplicationsFunctional requirements", Release 8, 2008.
27 "Smart Cards; UICC Application Programming Interface (UICC API) for Java Card(TM)", Release 9, 2012.
28 "Smart Cards; UICC Application Programming Interface (UICC API) for Java Card™", Release 9, 2012.
29 "Smart Cards; UICCTerminal Interface; Physical and logical characteristics", Release 10, 2011, 179 pages.
30 "The OTA Platform in the World of LTE", 14 pgs., Jan. 2011.
31 "Universal Mobile Telecommunications System (UMTS); UICCterminal interface; Physical and logical characteristics", Release 10, 2011.
32 Chen, "An efficient endtoend security mechanism for IP multimedia subsystem", Computer Communications, 2008, vol. 31.18, pp. 42594268.
33 Dodson, Ben et al., "Snap2Pass: ConsumerFriendly ChallengeResponse Authentication with a Phone",
http://prpl.stanford.edu/papers/soups10j.pdf, Apr. 30, 2010.
34 Global Platform, "Secure Element Remote Application Management", Version 1.0, May 2011.
35 Imhontu, et al., "A survey on near field communication in mobile phones & PDAs", Dissertation Halmstad University, 2010. http://hh.divaportal.org/smash/get/diva2:385433/FULLTEXT01.
36 Kim, JongMin et al., "A Study of Coupons issuance System Considering of User Convenience Based on NFC", 3rd International Conference on
Computer Science and Information Technology (ICCSIT'2013) Jan. 45, 2013 Bali (Indonesia).
37 Kounelis, Ioannis et al., "Secure Middleware for Mobile Phones and UICC Applications", Mobile Wireless Middleware, Operating Systems, and
Applications, Springer Berlin Heidelberg, 2012, 143152.
38 Kounelis, Ioannis et al., "Security of service requests for cloud based mcommerce", MIPRO, 2012 Proceedings of the 35th International
Convention, IEEE, 2012.
39 Meyerstein, et al., "Security Aspects of Smart Cards vs. Embedded Security in MachinetoMachine (M2M) Advanced Mobile Network
Applications", InterDigital Communications Corporation LLC, First International ICST Conference: MobiSec 2009, Security and Privacy in Mobile
Information and Communication Systems, p. 214225, Jun. 35, 2009.
40 Nagalakshmi, et al., "Modified Protocols for Internet Key Exchange (IKE) Using Public Encryption and Signature Keys", Information Technology:
New Generations (ITNG), 2011 Eighth International Conference on, 2011, pp. 376, 381.
41 Zhang, et al., "Cryptographic Key Agreement Protocol Simulation", Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference
on, 2010, pp. 418, 419.
Saturday, July 15, 2017
Maryam Mirzakhani
Maryam Mirzakhani was first women to win maths' Fields Medal. She would be in our mind forever. #MaryamMirzakhani
Monday, July 10, 2017
Deep Learning @ Penn State
Integrating Deep-learned Models and Photography Idea Retrieval
Intelligent Portrait Composition Assistance (IPCA) – Integrating Deep-learned Models and Photography Idea Retrieval, Farshid Farhat, Mohammad Kamani, Sahil Mishra, James Wang, ACM Multimedia 2017, Mountain View, CA, USA.
ABSTRACT: Retrieving photography ideas corresponding to a given location facilitates the usage of smart cameras, where there is a high interest among amateurs and enthusiasts to take astonishing photos at anytime and in any location. Existing research captures some aesthetic techniques such as the rule of thirds, triangle, and perspectiveness, and retrieves useful feedbacks based on one technique. However, they are restricted to a particular technique and the retrieved results have room to improve as they can be limited to the quality of the query. There is a lack of a holistic framework to capture important aspects of a given scene and give a novice photographer informative feedback to take a better shot in his/her photography adventure. This work proposes an intelligent framework of portrait composition using our deep-learned models and image retrieval methods. A highly-rated web-crawled portrait dataset is exploited for retrieval purposes. Our framework detects and extracts ingredients of a given scene representing as a correlated hierarchical model. It then matches extracted semantics with the dataset of aesthetically composed photos to investigate a ranked list of photography ideas, and gradually optimizes the human pose and other artistic aspects of the composed scene supposed to be captured. The conducted user study demonstrates that our approach is more helpful than the other constructed feedback retrieval systems.
Art, Computer Vision, Conference Paper, Deep Learning, Image Processing, Machine Learning, Pattern Recognition, Photography, Research, Thesis and tagged ACM Multimedia, ACMM, Aesthetics, AI, Art Theory, Artificial Intelligence, CBIR, Computer Vision, Content-based Image Retrieval, DEEP LEARNING, Deep-Learned Model Transfer, Human Pose, Human Pose Estimation, Image Aesthetics, Image Processing, Image Retrieval, Intelligent Portrait Composition Assistance, IPCA, Machine Learning, Object Detection, Pattern Recognition, Penn State Deep Learning, Photography, Photography Idea, Portrait, Portrait Composition, Portrait Dataset, Portrait Photography, Pose Estimation, Pose Recommendation, Scene Parsing
Tuesday, May 2, 2017
Publications
Farshid Farhat 's Site @ PSU
Publications
- Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval, Z Zhou, F Farhat, JZ Wang, IEEE Transactions on Multimedia, 2017. [code][dataset]
- Shape matching using skeleton context for automated bow echo detection, MM Kamani, F Farhat, S Wistar, JZ Wang, Big Data (Big Data), 2016 IEEE International Conference on, 901-908, 2016.
- Detecting Vanishing Points in Natural Scenes with Application in Photo Composition Analysis, Z Zhou, F Farhat, JZ Wang, arXiv preprint arXiv:1608.04267, 2016.
- Optimal Placement of Cores, Caches and Memory Controllers in Network On-Chip, DZ Tootaghaj, F Farhat, arXiv preprint arXiv:1607.04298, 2016.
- Towards Stochastically Optimizing Data Computing Flows, F Farhat, DZ Tootaghaj, M Arjomand, arXiv preprint arXiv:1607.04334, 2016.
- Stochastic Modeling and Optimization of Stragglers, F Farhat, D Zad Tootaghaj, Y He, et al. IEEE Transaction on Cloud Computing, 14, 6, 2016.
- Stochastic modeling and optimization of stragglers in mapreduce framework, F Farhat, The Pennsylvania State University, 2015.
- Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost, DZ Tootaghaj, F Farhat, M Arjomand, P Faraboschi et al. Workload characterization (IISWC), 2015 IEEE international symposium on, 203-212, 2015.
- Towards blind detection of low-rate spatial embedding in image steganalysis, F Farhat, S Ghaemmaghami, IET Image Processing 9 (1), 31-42, 2015.
- Modeling and optimization of straggling mappers, F Farhat, DZ Tootaghaj, A Sivasubramaniam, MT Kandemir, CR Das, Technical report, Technical Report CSE-14-006, Pennsylvania State University, 2014.
- Security Weaknesses in PGP Protocol, F Farhat, M Heydari, MR Aref, 2013.
- Eigenvalues-based LSB steganalysis, F Farhat, A Diyanat, S Ghaemmaghami, MR Aref, The ISC International Journal of Information Security 4 (2), 97-106, 2012.
- Image steganalysis based on SVD and noise estimation: Improve sensitivity to spatial LSB embedding families, A Diyanat, F Farhat, S Ghaemmaghami, TENCON 2011-2011 IEEE Region 10 Conference, 1266-1270, 2011.
- Multi-dimensional correlation steganalysis, F Farhat, A Diyanat, S Ghaemmaghami, MR Aref, Multimedia Signal Processing (MMSP), 2011 IEEE 13th International Workshop, 2011.
- Game-theoretic approach to mitigate packet dropping in wireless Ad-hoc networks, DZ Tootaghaj, F Farhat, MR Pakravan, MR Aref, Consumer Communications and Networking Conference (CCNC), 2011 IEEE, 163-165, 2011.
- Risk of attack coefficient effect on availability of Ad-hoc networks, DZ Tootaghaj, F Farhat, MR Pakravan, MR Aref, Consumer Communications and Networking Conference (CCNC), 2011 IEEE, 166-168, 2011.
- Private Identification, Authentication and Key Agreement Protocol with Security Mode Setup, F Farhat, S Salimi, A Salahi, IACR Cryptology ePrint Archive, 2011.
- Locally Multipath Adaptive Routing Protocol Resilient to Selfishness and Wormholes, F Farhat, MR Pakravan, M Salmasizadeh, MR Aref, International Conference on Information Security Practice and Experience, 2010.
- An Extended Authentication and Key Agreement Protocol of UMTS, F Farhat, S Salimi, A Salahi, International Conference on Information Security Practice and Experience, 2009.
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