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Saint-Jean-de-Losne, France

Jegou H.,French Institute for Research in Computer Science and Automation | Perronnin F.,Xerox | Douze M.,French Institute for Research in Computer Science and Automation | Sanchez J.,Research Center in Informatics for Engineering | And 2 more authors.
IEEE Transactions on Pattern Analysis and Machine Intelligence | Year: 2012

This paper addresses the problem of large-scale image search. Three constraints have to be taken into account: search accuracy, efficiency, and memory usage. We first present and evaluate different ways of aggregating local image descriptors into a vector and show that the Fisher kernel achieves better performance than the reference bag-of-visual words approach for any given vector dimension. We then jointly optimize dimensionality reduction and indexing in order to obtain a precise vector comparison as well as a compact representation. The evaluation shows that the image representation can be reduced to a few dozen bytes while preserving high accuracy. Searching a 100 million image data set takes about 250 ms on one processor core. © 2012 IEEE.


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: FI.ICT-2011.1.8 | Award Amount: 20.32M | Year: 2013

The FI-CONTENT 2 project aims at establishing the foundation of a European infrastructure for promoting and testing novel uses of audio-visual content on connected devices. The partners will develop and deploy advanced platforms for Social Connected TV, Mobile Smart City services, and Gaming/ Virtual worlds. To assess the approach and improve these platforms, user communities in 6 European locations will be activated for living lab and field trials. The project is strongly supported by local stakeholders (regional authorities, associations, educational organizations, user groups) who will participate in the project via User Advisory Boards. The technical capabilities of the platforms will be validated and improved by integrating new - content usage driven - partners recruited via the open call planned early in the project.\nIn FI-CONTENT (FI-PPP Phase 1), we demonstrated that challenging and bold assertions around next generation Internet content and technology needs are best assessed with radical yet practical demonstrators, use cases, APIs and field research. FI-CONTENT 2 builds on our work in Phase 1, refining the findings where appropriate.\nThe project has good relationships with the other projects of the FI-PPP program. Contacts have been taken for coordination and potentially joint experiments with other FI-PPP projects. The proposal shows how to work with FI-WARE and existing EU infrastructure projects where suitable, and demonstrates how best to create and define new domain specific technologies, mostly cloud based.\nThe FI-CONTENT 2 partnership is a balanced group of large industrial, Content and Media companies, technology suppliers, Telecommunications/Internet access operators, Living labs and Academic institutions. FI-CONTENT-2 harnesses the power and excitement of content on the new Internet to drive European innovation, content creation and distribution to enrich the lives of all Europeans.


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2009.1.1 | Award Amount: 8.07M | Year: 2010

The Internet has evolved from a technology-centric core network to a user- and content-centric network that must support millions of users creating and consuming content. It must accommodate new services with new requirements and cope with heterogeneous network technologies. The momentum is moving toward the end user who is now capable of creating, storing, and delivering content and services. FIGARO proposes a Future Internet architecture that is structured around residential networks. In this architecture, home gateways have a key role as integrator of different networks and services, and as coordinator of Internet-wide distributed content management. FIGARO will: i) design a novel content management architecture that enables distributed content backup, search and access. This architecture will also support mobile users and wireless ad-hoc content sharing; ii) develop a network optimization framework, leveraging community networks and heterogeneous networks; iii) deliver a network management architecture which includes new network monitoring and real-time troubleshooting techniques; iv) explore novel Internet-based communication and service solutions for emerging sectors, such as energy management and e-health care.\nWe will deliver the components of the FIGARO architecture through an experimental approach incorporating testbed prototyping of solutions. In summary, FIGARO is intended to evolve the current Internet to meet future demands of applications, services and end-users, while preserving its current robustness and increasing its scalability and efficiency. Furthermore, the integration of new sectors into the future Internet will spur trans-sector innovation and create new businesses. The project is expected to result in technologies that will strengthen Europes position and give competitive advantage to European industry in the areas of Future Internet technologies and services, residential gateways and home automation.


Zang H.,Sprint | Bolot J.,Technicolor
Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM | Year: 2011

We examine a very large-scale data set of more than 30 billion call records made by 25 million cell phone users across all 50 states of the US and attempt to determine to what extent anonymized location data can reveal private user information. Our approach is to infer, from the call records, the "top N" locations for each user and correlate this information with publicly-available side information such as census data. For example, the measured "top 2" locations likely correspond to home and work locations, the "top 3" to home, work, and shopping/school/commute path locations. We consider the cases where those "top N" locations are measured with different levels of granularity, ranging from a cell sector to whole cell, zip code, city, county and state. We then compute the anonymity set, namely the number of users uniquely identified by a given set of "top N" locations at different granularity levels. We find that the "top 1" location does not typically yield small anonymity sets. However, the top 2 and top 3 locations do, certainly at the sector or cell-level granularity. We consider a variety of different factors that might impact the size of the anonymity set, for example the distance between the "top N" locations or the geographic environment (rural vs urban). We also examine to what extent specific side information, in particular the size of the user's social network, decrease the anonymity set and therefore increase risks to privacy. Our study shows that sharing anonymized location data will likely lead to privacy risks and that, at a minimum, the data needs to be coarse in either the time domain (meaning the data is collected over short periods of time, in which case inferring the top N locations reliably is difficult) or the space domain (meaning the data granularity is strictly higher than the cell level). In both cases, the utility of the anonymized location data will be decreased, potentially by a significant amount. © 2011 ACM.


Ye Y.,InterDigital Communications | Andrivon P.,Technicolor
IEEE Multimedia | Year: 2014

This article presents an overview of SHVC, the scalable extension of H.265/HEVC. SHVC adopts a scalable coding architecture with only high-level syntax changes relative to its base codec, which allows SHVC to be deployed with significantly reduced implementation cost. SHVC supports a rich set of scalability features. It also addresses the increasing market demand for higher quality and higher value video content delivery by providing a set of desired scalability features with high coding efficiency. © 2014 IEEE.

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