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International Conference on Wireless Networks, Communications and Mobile Computing

作者： De Angelis, F Habib, I CUNY City Coll New York NY 10031 USA

ISBN: (纸本)0780393058

This paper presents tin adaptive filtering algorithm for the delivery of multimedia content with different qualify of service (QoS) requirements in time-varying wideband code-division multiple access (W-CDMA) cellular networks. The algorithm objective is to guarantee levels of quality for two different user defined profiles (Premium, or Economy), while attempting to maximize the allocation of the radio channel bandwidth and maintaining the QoS requirements of downloaded traffic flows (audio, video, and data). Our proposed solution is based upon utilizing Genetic algorithms (GAs) to solve a multi-objective function that selects, during a control period, the bit rates and formats for the media codecs of downloaded traffic flows and assigns the air interface channel rate and power to each user, subject to different constraints. To show the performance of the algorithm, W-CDMA systems with and without filtering capabilities are compared.

关键词： adaptive filters bandwidth allocation broadband networks cellular radio code division multiple access filtering theory genetic algorithms multimedia communication quality of service QoS adaptive filtering algorithm code-division multiple access genetic a adaptive filters Code division multiple access Quality of service Genetic Algorithm (GA) multimedia services WCDMA filtering theory Broadband networks bandwidth allocation multimedia content Traffic flow audio video

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Confidentiality-Preserving Image Search: A Comparative Study Between Homomorphic Encryption and Distance-Preserving Randomization

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IEEE access 2014年 2卷 125-141页

作者： Lu, Wenjun Varna, Avinash L. Wu, Min Google Mountain View CA 95014 USA Intel Corp Phoenix AZ 85226 USA Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA Univ Maryland Inst Adv Comp Studies College Pk MD 20742 USA

Recent years have seen increasing popularity of storing and managing personal multimedia data using online services. Preserving confidentiality of online personal data while offering efficient functionalities thus becomes an important and pressing research issue. In this paper, we study the problem of content-based search of image data archived online while preserving content confidentiality. The problem has different settings from those typically considered in the secure computation literature, as it deals with data in rank-ordered search, and has a different security-efficiency requirement. Secure computation techniques, such as homomorphic encryption, can potentially be used in this application, at a cost of high computational and communication complexity. Alternatively, efficient techniques based on randomizing visual feature and search indexes have been proposed recently to enable similarity comparison between encrypted images. This paper focuses on comparing these two major paradigms of techniques, namely, homomorphic encryption based techniques and feature/index randomization-based techniques, for confidentiality-preserving image search. We develop novel and systematic metrics to quantitatively evaluate security strength in this unique type of data and applications. We compare these two paradigms of techniques in terms of their search performance, security strength, and computational efficiency. The insights obtained through this paper and comparison will help design practical algorithms appropriate for privacy-aware cloud multimedia systems.

关键词： content based image retrieval secure search secure cloud computing homomorphic encryption visual words min-hash random projection order preserving encryption

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A weight-aware recommendation algorithm for mobile multimedia systems

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MOBILE INFORMATION systems 2013年第2期9卷 139-155页

作者： Rosa, Pedro M. P. Rodrigues, Joel J. P. C. Basso, Filippo Univ Beira Interior Inst Telecomunicacoes P-6201001 Covilha Portugal

In the last years, information flood is becoming a common reality, and the general user, hit by thousands of possible interesting information, has great difficulties identifying the best ones, that can guide him in his/her daily choices, like concerts, restaurants, sport gatherings, or culture events. The current growth of mobile smartphones and tablets with embedded GPS receiver, Internet access, camera, and accelerometer offer new opportunities to mobile ubiquitous multimedia applications that helps gathering the best information out of an always growing list of possibly good ones. This paper presents a mobile recommendation system for events, based on few weighted context-awareness data-fusion algorithms to combine several multimedia sources. A demonstrative deployment were utilized relevance like location data, user habits and user sharing statistics, and data-fusion algorithms like the classical CombSUM and CombMNZ, simple, and weighted. Still, the developed methodology is generic, and can be extended to other relevance, both direct (background noise volume) and indirect (local temperature extrapolated by GPS coordinates in a Web service) and other data-fusion techniques. To experiment, demonstrate, and evaluate the performance of different algorithms, the proposed system was created and deployed into a working mobile application providing real time awareness-based information of local events and news.

关键词： Mobile computing ubiquitous computing location-aware content-aware iphone applications multimedia applications mobility

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Recognizing persons in images by learning from videos

Recognizing persons in images by learning from videos

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Conference on multimedia content access - algorithms and systems

作者： Hoerster, Eva Lux, Jochen Lienhart, Rainer Univ Augsburg Multimedia Comp Lab D-8900 Augsburg Germany

ISBN: (纸本)9780819466198

In this paper, we propose an approach for automatically, recognizing persons in images based on their general outer appearance. Therefore we build a statistical model for each person. Large amounts of training data are collected and labeled automatically by using a visual sensor array capturing image sequences containing the person to be learnt. Foreground-background segementation is performed to seperate the person from background, thus enabeling to learn the persons appearance independent of the background. Color and gradient features are extracted representing the segmented person. Person recognition of incoming photos is carried out using (k)-Nearest Neighbor(s) classification and the normalized histogram intersection match value is used as distance measure. Reported experimental results show that the presented approach performs well.

关键词： object recognition object identification person recognition person identification

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Assessment of the effects of 5G MEC cache on DASH adaptation algorithms

Assessment of the effects of 5G MEC cache on DASH adaptation...

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International Symposium on Broadband multimedia systems and Broadcasting (BMSB)

作者： Viola, Roberto Amendola, Danilo Fernandez, Zaloa Gabilondo, Alvaro Zorrilla, Mikel Casals, Mikel Angueira, Pablo Montalban, Jon Basque Res & Technol Alliance Vicomtech Fdn San Sebastian Spain Univ Navarra Tecnun San Sebastian Spain Univ Basque Country Dept Commun Engn Bilbao 48013 Spain Univ Basque Country Dept Elect Technol Bilbao 48013 Spain

ISBN: (纸本)9781665469012

video streaming services are the major sources of Internet traffic, and their usage is constantly growing. To cope with this increasing video traffic demand, 5G comes with a new Radio access Network (RAN), having increased network data rates, and the Multi-access Edge Computing (MEC) architecture, enabling the deployment of services closer to the end devices. 5G RAN and MEC open to new opportunities to enforce and boost the video content delivery, as the content can be cached locally at the MEC host and served with improved RAN connectivity. However, the presence of a cache located at MEC may affect player adaptation algorithm when employing Adaptive Bitrate (ABR) streaming technologies, such as Dynamic Adaptive Streaming over HTTP (DASH). The cache influences the network measurements performed by the DASH player, which are later used, among other factors, by its adaptation algorithm to select the video representation bitrate. This paper investigates the interactions between MEC cache and DASH adaptation algorithms in a real testbed, including 5G RAN and MEC platform. The effects on different adaptation algorithms are analyzed while caching the DASH video content at the MEC.

关键词： 5G Adaptive Streaming content Caching Multi-access Edge Computing & Quality of Service

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Robust Video and Audio Based Synchronization of multimedia Files

Robust Video and Audio Based Synchronization of Multimedia F...

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Conference on Imaging and Printing in a Web 2.0 World;and multimedia content access - algorithms and systems IV

作者： Raichel, Benjamin A. Bajcsy, Peter Univ Illinois Dept CS 201 N Goodwin Ave Urbana IL 61801 USA Natl Ctr Supercomp Applicat Urbana IL 61801 USA

ISBN: (纸本)9780819479334

This paper addresses the problem of robust and automated synchronization of multiple audio and video signals. The input signals are from a set of independent multimedia recordings coming from several camcorders and microphones. While the camcorders are static, the microphones are mobile as they are attached to people. The motivation for synchronization of all signals is to support studies and understanding of human interaction in a decision support environment that have been limited so far due to the difficulties in automated processing of any observations during the decision making sessions. The application of our work is to environments supporting decisions. The data sets for this work have been acquired during training exercises of response teams, rescue workers, and fire fighters at multiple locations. The developed synchronization methodology for a set of independent multimedia recordings is based on introducing aural and visual landmarks with a bell and room light switches. Our approach to synchronization is based on detecting the landmarks in audio and video signals per camcorder and per microphone, and then fusing the results to increase robustness and accuracy of the synchronization. We report synchronization results that demonstrate accuracy of synchronization based on video and audio.

关键词： Synchronization multimedia content Integration

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A novel approach to personal photo album representation and management

A novel approach to personal photo album representation and ...

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Conference on multimedia content access - algorithms and systems II

作者： Ardizzone, Edoardo La Caskia, Marco Vella, Filippo Univ Palermo Dipartimento Ingn Informat I-90128 Palermo Italy

ISBN: (纸本)9780819469922

In this paper we present a novel approach to personal photo album management allowing the end user to efficiently access the collection without any need for tedious manual annotation or indexing of the photos. The proposed work exploits methods and technology from the field of computer vision and pattern recognition for face detection, face representation and image annotation to automatically create description of images useful for content-based searching and retrieval. In fact, even if most of the used techniques are not reliable enough to address the general problem of content-based image retrieval, we show that, in a limited domain such as the one of personal photo album, it is possible to obtain results that improve the browsing capabilities of current photo album management systems. In particular, starting from the observation that most personal photos depict a usually small number of people in a relatively small number of different context (indoor, outdoor, beach, mountain, city etc...) we propose the use of automatic techniques to index images based on who is present in the scene and on the-context where the picture was taken. Experiments on a personal photo collection of about a thousand images proved that relatively simple content-based techniques lead to surprisingly good results in term of easyness of user access to-the data.

关键词： personal photo album content-based image retrieval automatic-image annotation

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WikiPrints - Rendering Enterprise Wiki content for Printing

WikiPrints - Rendering Enterprise Wiki Content for Printing

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Conference on Imaging and Printing in a Web 2.0 World;and multimedia content access - algorithms and systems IV

作者： Berkner, Kathrin Ricoh Innovat Inc Menlo Pk CA 94025 USA

ISBN: (纸本)9780819479334

Wikis have become a tool of choice for collaborative, informative communication. In contrast to the immense Wikipedia, that serves as a reference web site and typically covers only one topic per web page, enterprise wikis are often used as project management tools and contain several closely related pages authored by members of one project. In that scenario it is useful to print closely related content for review or teaching purposes. In this paper we propose a novel technique for rendering enterprise wiki content for printing called WikiPrints, that creates a linearized version of wiki content formatted as a mixture between web layout and conventional document layout suitable for printing. Compared to existing print options for wiki content, Wikiprints automatically selects content from different wiki pages given user preferences and usage scenarios. Meta data such as content authors or time of content editing are considered. A preview of the linearized content is shown to the user and an interface for making manual formatting changes provided.

关键词： Wiki pagination print formatting content linearization graph model arborescence

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content-based image retrieval using greedy routing

Content-based image retrieval using greedy routing

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Conference on multimedia content access - algorithms and systems II

作者： Don, Anthony Hanusse, Nicolas Univ Bordeaux 1 LaBRI F-33405 Talence France

ISBN: (纸本)9780819469922

In this paper, we propose a new concept for browsing and searching in large collections of content-based indexed images. Our approach is inspired by greedy routing algorithms used in distributed networks. We define a navigation graph, called NAVGRAPH, whose vertices represent images. The edges of the navgraph are computed according to a similarity measure between indexed images. The resulting graph can be seen as an ad-hoc network of images in which a greedy routing algorithm can be applied for retrieval purposes. A request for a target image consists of a walk in the navigation graph using a greedy,approach : starting from an arbitrary vertex/image, the neighbors of the current vertex are presented to the user, who iteratively selects the vertex which is the most similar to the target. We present the NAVGRAPH construction and prove its efficiency for greedy routing. We also propose a specific content-descriptor that we compare to the MPEG7 Color Layout Descriptor. Experimental results with test-users show the usability of this approach.

关键词： CBIR user interface greedy routing navigation graphs

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Searching through Photographic Databases with QuickLook

Searching through Photographic Databases with QuickLook

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Conference on multimedia on Mobile Devices and multimedia content access - algorithms and systems VI

作者： Ciocca, Gianluigi Cusano, Claudio Schettini, Raimondo Santini, Simone de Polo, Andrea Tavanti, Francesca Univ Milano Bicocca Viale Sarca 336 I-20126 Milan Italy Univ Autonoma Madrid Madrid 28049 Spain Alinari 24 ORE SpA RD Multimedia Lab I-50123 Florence Italy

ISBN: (纸本)9780819489517

We present here the results obtained by including a new image descriptor, that we called prosemantic feature vector, within the framework of QuickLook(2) image retrieval system. By coupling the prosemantic features and the relevance feedback mechanism provided by QuickLook(2), the user can move in a more rapid and precise way through the feature space toward the intended goal. The prosemantic features are obtained by a two-step feature extraction process. At the first step, low level features related to image structure and color distribution are extracted from the images. At the second step, these features are used as input to a bank of classifiers, each one trained to recognize a given semantic category, to produce score vectors. We evaluated the efficacy of the prosemantic features under search tasks on a dataset provided by Fratelli Alinari Photo Archive.

关键词： Image retrieval image indexing semantic gap prosemantic features

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