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Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004

作者： Haruechaiyasak, Choochart Shyu, Mei-Ling Chen, Shu-Ching Info. R. and D. Division Natl. Electron./Comp. Technol. Ctr. Thailand Science Park Klong Luang Pathumthani 12120 Thailand Dept. of Elec. and Comp. Engineering University of Miami Coral Gables FL 33124 United States Distributed Multimedia Info. S.L. School of Computer Science Florida International University Miami FL 33199 United States

ISBN: (纸本)0780388194

In this paper, we propose a new framework based on data mining algorithms for building a Web-page recommender system. A recommender system is an intermediary program (or an agent) with a user interface that automatically and intelligently generates a list of information which suits an individual's needs. Two information filtering methods for providing the recommended information are considered: (1) by analyzing the information content, i.e., content-based filtering, and (2) by referencing other user access behaviors, i.e., collaborative filtering. By using the data mining algorithms, the information filtering processes can be performed prior to the actual recommending process. As a result, the system response time could be improved and thus, making the framework scalable. © 2004 IEEE.

关键词： Data mining

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Comparison of compression efficiency between HEVC/H.265 and VP9 based on subjective assessments 37

Comparison of compression efficiency between HEVC/H.265 and ...

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Conference on Applications of Digital Image Processing XXXVII

作者： Rerabek, Martin Ebrahimi, Touradj Ecole Polytech Fed Lausanne Multimedia Signal Proc Grp MMSPG Lausanne Switzerland

ISBN: (纸本)9781628412444

Current increasing effort of broadcast providers to transmit UHD (Ultra High Definition) content is likely to increase demand for ultra high definition televisions (UHDTVs). To compress UHDTV content, several alternative encoding mechanisms exist. In addition to internationally recognized standards, open access proprietary options, such as VP9 video encoding scheme, have recently appeared and are gaining popularity. One of the main goals of these encoders is to efficiently compress video sequences beyond HDTV resolution for various scenarios, such as broadcasting or internet streaming. In this paper, a broadcast scenario rate-distortion performance analysis and mutual comparison of one of the latest video coding standards H.265/HEVC with recently released proprietary video coding scheme VP9 is presented. Also, currently one of the most popular and widely spread encoder H.264/AVC has been included into the evaluation to serve as a comparison baseline. The comparison is performed by means of subjective evaluations showing actual differences between encoding algorithms in terms of perceived quality. The results indicate a dominance of HEVC based encoding algorithm in comparison to other alternatives if a wide range of bit-rates from very low to high bit-rates corresponding to low quality up to transparent quality when compared to original and uncompressed video is considered. In addition, VP9 shows competitive results for synthetic content and bit-rates that correspond to operating points for transparent or close to transparent quality video.

关键词： High Efficiency Video Coding (HEVC) Advanced Video Coding (AVC) VP9 WebM subjective quality assessment coding efficiency

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content-based retrieval for image databases

Content-based retrieval for image databases

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作者： Li, Fang DalTech - Dalhousie University (Canada)

学位级别：M.Comp.Sc.

Advances in digital storage and processing speed have made feasible the creation of large image databases with rapid access to individual items stored therein. The huge data sizes of images and the enormous number of images in a typical image database, coupled with inexact nature and subjective interpretations, have called for content-based retrieval systems. Fast and accurate retrievals are crucial for such systems to be used efficiently. This project provides an overview on the content-based Image Retrieval (CBIR) techniques developed recently. Research directions and current available CBIR systems are presented. Important issues such as image segmentation algorithms, image logic structure and spatial relationships, spatial access methods and Query by Visual Example techniques (QVE) are discussed in detail. A prototype image retrieval system called IMAGESEEK is implemented using the JAVA programming language. The system enables the search of natural colour images and demonstrates the various ideas of Query by Visual Example techniques. A framework for CBIR systems is proposed. Experimental results of different QVE algorithms are discussed and compared with each other. The system has been successful in retrieving images from our sample data sets by their global and local colours. The user-friendly interface of IMAGESEEK allows the user to tailor and refine the query interactively by changing the retrieval algorithm, the threshold value, the weights, and the selected region of the query image. IMAGESEEK provides us a way to understand the key issues of CBIR techniques. It is a small but valuable component in the collection of multimedia retrieval systems.

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9th IFIP/IEEE International Conference on Management of multimedia and Mobile Networks and Services, MMNS 2006

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9th IFIP/IEEE International Conference on Management of multimedia and Mobile Networks and Services, MMNS 2006

ISBN: (纸本)3540476547

The proceedings contain 26 papers. The special focus in this conference is on multimedia over wireless, Mobile Ad-Hoc networks, Video streaming, Short papers, Short papers, Bandwidth provisioning and control and multimedia over Wireless (2). The topics include: Enhanced multimedia and Real-Time Stream Throughput in Wireless Ad-Hoc LAN Using Distributed Virtual Channel Based MAC, Adaptive Streaming of Combined Audio/Video content over Wireless Networks, Management of IEEE 802.11e Wireless LAN for Realtime QoS-Guaranteed Teleconference Service with Differentiated H.264 Video Transmission, Link Available Bandwidth Monitoring for QoS Routing with AODV in Ad Hoc Networks, An Efficient and Robust Service Discovery Protocol for Dynamic MANETs, Modeling Energy Consumption in Error-Prone IEEE 802.11-Based Wireless Ad-Hoc Networks, MaVIS: Media-aware Video Streaming Mechanism, On the Power of Cooperation in multimedia Caching, Delay Constrained Spatio-temporal Video Rate Control for Time-Varying Rate Channels, A Scalable Framework for content Replication in Multicast-Based content Distribution Networks, VidShare: A Management Platform for Peer-to-Peer multimedia Asset Distribution Across Heterogeneous access Networks with Intellectual Property Management, A Service-Oriented Framework to Promote Interoperability Among DRM systems, A Distributed Hierarchical Structure for Object Networks Supporting Human Activity Recognition, A Bandwidth-Broker Based Inter-domain SLA Negotiation, Efficiency of Loss Differentiation algorithms in 802.11 Wireless Networks, Towards Autonomic Handover Decision Management in 4G Networks, Evaluation of an Intelligent Utility-Based Strategy for Dynamic Wireless Network Selection and Overlays on Wireless Mesh Networks: Implementation and Cross-Layer Searching.

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Supporting similaxity queries in MARS 5

Supporting similaxity queries in MARS

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5th ACM International Conference on multimedia, multimedia 1997

作者： Ortega, Michael Rui, Yong Chakrabarti, Kaushik Mehrotra, Sharad Huang, Thomas S. Department of Computer Science and Beckman Institute University of Illinois at Urbana-Champaign UrbanaIL61801 United States

ISBN: (纸本)0897919912

To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the multimedia Analysis and Retrieval System (MARS) in our group at the University of Illinois [13]. In this paper, we concentrate on the retrieval subsystem of MARS and its support for content-based queries over image databases. content-based retrieval techniques have been extensively studied for textual documents in the area of automatic information retrieval [24, 21. This paper describes how these techniques can be adapted for ranked retried over image databases. Specifically, we discuss the ranking and retrieval algorithms developed in MARS based on the Boolean retrievaI model and describe the results of our experiments that demonstrate the effectiveness of the developed model for image retrieval. © Copyright 1997 ACM.

关键词： content based retrieval

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Embedded Multi-Channel Video Encoder Based on DSP

Embedded Multi-Channel Video Encoder Based on DSP

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5th IEEE International Symposium on Embedded Computing

作者： Yao Chunlian Li Wei Meng Qinglei Gao Lihua Beijing Technol & Business Univ Sch Digital Content Beijing 100037 Peoples R China Beihang Univ Sch Comp Sci & Engn Digital Media Lab Beijing 100083 Peoples R China

ISBN: (纸本)9780769533483

To satisfy the requirement of embedded video encoder in various scenarios, an embedded multi-channel video coding system based on multimedia processor-DM642 DSP is designed in this paper. For real-time application requirement, we optimize the encoder at three levels: Firstly, at algorithm level, develop some fast algorithm fitting for LISP;secondly, at system level, adjust the architecture of encoder and optimization data transfer with EDMA;thirdly, at code level, use linear assembly for key code. Experimental results show that the embedded video encoder can compress four channel CIF video data real-time.

关键词： Digital signal processing Video compression Digital signal processing chips Real time systems Signal processing algorithms Hardware Random access memory Video coding Application software Switches

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Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images

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INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 2013年第6期8卷 1003-1014页

作者： Kumar, Ashnil Kim, Jinman Bi, Lei Fulham, Michael Feng, Dagan Univ Sydney Sch Informat Technol Biomed & Multimedia Informat Technol BMIT Res Grp Sydney NSW 2006 Australia Royal Prince Alfred Hosp Dept Mol Imaging Sydney NSW Australia Univ Sydney Sydney Med Sch Sydney NSW 2006 Australia Shanghai Jiao Tong Univ Med X Res Inst Shanghai 200030 Peoples R China

Purpose content-based image retrieval (CBIR) in medicine has been demonstrated to improve evidence-based diagnosis, education, and teaching. However, the low clinical adoption of CBIR is partially because the focus of most studies has been the development of feature extraction and similarity measurement algorithms with limited work on facilitating better understanding of the similarity between complex volumetric and multi-modality medical images. In this paper, we present a method for defining user interfaces (UIs) that enable effective human user interpretation of retrieved images. Methods We derived a set of visualisation and interaction requirements based on the characteristics of modern volumetric medical images. We implemented a UI that visualised multiple views of a single image, displayed abstractions of image data, and provided access to supplementary non-image data. We also defined interactions for refining the search and visually indicating the similarities between images. We applied the UI for the retrieval of multi-modality positron emission tomography and computed tomography (PET-CT) images. We conducted a user survey to evaluate the capabilities of our UI. Results Our proposed method obtained a high rating (4 out of 5) in the majority of survey questions. In particular, the survey responses indicated the UI presented all the information necessary to understand the retrieved images, and did so in an intuitive manner. Conclusion Our proposed UI design improved the ability of users to interpret and understand the similarity between retrieved PET-CT images. The implementation of CBIR UIs designed to assist human interpretation could facilitate wider adoption of medical CBIR systems.

关键词： content-based image retrieval Retrieval interpretation User interface PET-CT

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Metric space indexing for nearest neighbor search in multimedia context : Indexação de espaços métricos para busca de vizinho mais próximo em contexto multimídia / Eliezer de Souza da Silva.

Metric space indexing for nearest neighbor search in multime...

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作者： Silva, Eliezer de Souza da, 1988- Universidade Estadual de Campinas

The increasing availability of multimedia content poses a challenge for information retrieval researchers. Users want not only have access to multimedia documents, but also make sense of them --- the ability of finding specific content in extremely large collections of textual and non-textual documents is paramount. At such large scales, multimedia Information Retrieval systems must rely on the ability to perform search by similarity efficiently. However, multimedia Documents are often represented by high-dimensional feature vectors, or by other complex representations in metric spaces. Providing efficient similarity search for that kind of data is extremely challenging. In this project, we explore one of the most cited family of solutions for similarity search, the Locality-Sensitive Hashing (LSH), which is based upon the creation of hashing functions which assign, with higher probability, the same key for data that are similar. LSH is available only for a handful distance functions, but, where available, it has been found to be extremely efficient for architectures with uniform access cost to the data. Most existing LSH functions are restricted to vector spaces. We propose two novel LSH methods (VoronoiLSH and VoronoiPlex LSH) for generic metric spaces based on metric hyperplane partitioning (random centroids and K-medoids). We present a comparison with well-established LSH methods in vector spaces and with recent competing new methods for metric spaces. We develop a theoretical probabilistic modeling of the behavior of the proposed algorithms and show some relations and bounds for the probability of hash collision. Among the algorithms proposed for generalizing LSH for metric spaces, this theoretical development is new. Although the problem is very challenging, our results demonstrate that it can be successfully tackled. This dissertation will present the developments of the method, theoretical and experimental discussion and reasoning of the methods performance

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Medical visual information retrieval: State of the art and challenges ahead

Medical visual information retrieval: State of the art and c...

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IEEE International Conference onmultimedia and Expo, ICME 2007

作者： Müller, Henning Xin, Zhou Depeursinge, Adrien Pitkanen, Mikko Iavindrasana, Jimison Geissbuhler, Antoine Medical Informatics Service University and Hospitals of Geneva 24 Rue Micheli-du-Crest 1211 Geneva 14 Switzerland

ISBN: (纸本)1424410177

Today's medical institutions produce enormous amounts of data on patients, including multimedia data, which is increasingly produced in digital form. These data in their clinical context contain much information and experience that is currently not being used up to its full potential. Through the digital form the data has become accessible for automatic analysis and treatment for a variety of applications. At the same time, the variety of images produced can be confusing even for trained specialists causing an information overload exists for many medical doctors. This suggests that content-based image retrieval can be a valuable tool for helping manage these data and access the right information at the right time. This article gives a short state of the art of content-based medical image retrieval followed by a description of the medGIFT project on image retrieval with its main components. Then, several challenges are used to illustrate areas where much more work is currently needed to advance biomedical image retrieval. This shows that we have now progresses beyond the phase, where medical doctors transfer a database to computer scientists to only evaluate their algorithms. We conclude that visual information retrieval can have a real impact in the medical field if the techniques can adapt to this rapidly changing field and get integrated into the workflow in radiology and other medical fields. ©2007 IEEE.

关键词： content based retrieval

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content-aware cognitive interference control for urban IoT systems

Content-aware cognitive interference control for urban IoT s...

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作者： Baidya, Sabur Levorato, Marco Donald Bren School of Information and Computer Science University of California IrvineCA92617 United States

A novel cognitive interference control framework for heterogeneous local access networks supporting computing and data processing in urban Internet of Things (IoT) systems is presented. The notion of cognitive content-aware interference control is introduced, where the transmission pattern of cognitive nodes is dynamically adapted to the state of 'protected' IoT data streams. The state describes the performance degradation that interference would cause to algorithms processing the data if the cognitive nodes chose to transmit in the corresponding time period. The framework is instantiated for a case-study scenario, where device-to-device (D2D) and long-term evolution communications coexist on the same channel resource. A city-monitoring application is considered, where the state captures the type of frames within a multimedia video stream processed at the edge of the network to detect and track objects. Numerical results show that the proposed cognitive transmission strategy enables a significant throughput increase of local D2D communications for a target accuracy of the monitoring application. © 2015 IEEE.

关键词： Internet of things

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