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Moving away from narrow-scope solutions in multimedia content analysis

Moving away from narrow-scope solutions in multimedia conten...

The 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. (Ref. No. 2005/11099)

作者： A. Hanjalic J. Nesvadba J. Benois-Pineau Department of Mediamatics Delft University of Technnology Delft Netherlands Storage Systems and Applications Group Philips Research Eindhoven Netherlands Labri UMR CNRS 5800 University of Bordeaux 1 France

Recent research results in the field of multimedia content Analysis (MCA) have been marked by an abundance of theoretical and algorithmic solutions covering narrow application domains only. In this paper we analyze this tendency and its origin in more detail and explain why, in our view, this should not be considered "the way to go" in providing easy access to content in multimedia systems and applications of the future. In particular, we concentrate on the case study of digital video, which we see as a straightforward example of multimedia. Through this case study we will discuss the needs and challenges of improving the generic potential of MCA algorithms.

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Adaptive filtering for delivering multimedia services in W-CDMA cellular networks using genetic algorithms

Adaptive filtering for delivering multimedia services in W-C...

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International Conference on Wireless Networks, Communications and Mobile Computing

作者： F. De Angelis I. Habib City College City University of New York USA

This paper presents an adaptive filtering algorithm for the delivery of multimedia content with different quality 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 Multiaccess communication Land mobile radio cellular systems Genetic algorithms Quality of service Filtering algorithms Wideband Bandwidth Communication system traffic control Bit rate

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Multimodal detection of highlights for multimedia content

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multimedia systems 2004年第6期9卷 586-593页

作者： Dagtas, S Abdel-Mottaleb, M Univ Arkansas Dept Informat Sci Little Rock AR 72204 USA Univ Miami Dept Elect & Comp Engn Coral Gables FL 33146 USA

We present a multimedia information analysis framework for content-based browsing of video. Specifically, we develop algorithms for the automated extraction of video highlights in sports video that are based on audio, text, and image features. The extracted annotations are used to build applications for selective browsing of sports videos. Such summarization techniques enable content-based indexing of multimedia documents for efficient storage and retrieval. In addition, in the context of the newly emerging standard MPEG-7, these methods will enable applications that use MPEG-7 descriptions. As this standard provides only the syntax for representing such descriptions and not specific algorithms for extracting them, these algorithms are of great value for establishing MPEG-7 as an accepted standard. We provide experimental results for the proposed algorithms on several hours of sports programs that prove the feasibility of efficient video access techniques in a multimedia environment.

关键词： multimedia systems

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Using MPEG standards for multimedia customization

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SIGNAL PROCESSING-IMAGE COMMUNICATION 2004年第5期19卷 437-456页

作者： Magalhaes, J Pereira, F Inst Super Engn Lisboa Lisbon Portugal Univ Tecn Lisboa Inst Telecomunicacoes Inst Super Tecn Lisbon Portugal

The multimedia content delivery chain poses today many challenges. The increasing terminal diversity, network heterogeneity and the pressure to satisfy the user preferences are raising the need for content to be customized in order to provide the user the best possible experience. This paper addresses the problem of multimedia customization by (1) presenting the MPEG-7 multimedia content description standard and the MPEG-21 multimedia framework;(2) classifying multimedia customization processing algorithms;(3) discussing multimedia customization systems;and (4) presenting some customization experiments. (C) 2004 Elsevier B.V. All rights reserved.

关键词： universal multimedia access multimedia custornization multimedia adaptation content description usage environment description MPEG-7 MPEG-21

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Web access to large audiovisual assets based on user preferences

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multimedia TOOLS AND APPLICATIONS 2004年第3期22卷 215-234页

作者： Karpouzis, K Moschovitis, G Ntalianis, K Ioannou, S Kollias, S Natl Tech Univ Athens Dept Elect & Comp Engn Image Video & Multimedia Lab Athens 15780 Greece

Current multimedia databases contain a wealth of information in the form of audiovisual as well as text data. Even though efficient search algorithms have been developed for either media, there still exists the need for abstract presentation and summarization of the results of database users' queries. Moreover, multimedia retrieval systems should be capable of providing the user with additional information related to the specific subject of the query, as well as suggest other topics which could be identified to attract the interest of users with a similar profile. In this paper, we present solutions to these issues, giving as an example an integrated architecture we have developed, along with notions that support efficient and secure Internet access to audiovisual/video databases. Segmentation of each video in shots is followed by shot classification in a number of predetermined categories. Generation of users' profiles according to the categories, enhanced by relevance feedback, permits an efficient presentation of retrieved video shots or characteristic frames in terms of the user interest in them. Moreover, this clustering scheme assists the notion of 'lateral' links that enable the user to continue retrieval with data of similar nature or content to those already returned. Furthermore, user groups are formed and modeled by registering actual preferences and practices. This enables the system to 'predict' information that is possibly relevant to the user's interest and present it along with the returned results. The concepts utilized in this system can be smoothly integrated in MPEG-7 compatible multimedia database systems.

关键词： multimedia databases web access video summarization dynamic search user profiling query expansion

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Knowledge-based media adaptation

Knowledge-based media adaptation

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Conference on Internet multimedia Management systems V

作者： Leopold, K Jannach, D Hellwagner, H Univ Klagenfurt Dept Informat Technol Klagenfurt Austria

ISBN: (纸本)0819455547

This paper introduces the principal approach and describes the basic architecture and current implementation of the knowledge-based multimedia adaptation framework we are currently developing. The framework can be used in Universal multimedia access scenarios, where multimedia content has to be adapted to specific usage environment parameters (network and client device capabilities, user preferences). Using knowledge-based techniques (state-space planning), the framework automatically computes an adaptation plan, i.e., a sequence of media conversion operations, to transform the multimedia resources to meet the client's requirements or constraints. The system takes as input standards-compliant descriptions of the content (using MPEG-7 metadata) and of the target usage environment (using MPEG-21 Digital Item Adaptation metadata) to derive start and goal states for the planning process, respectively. Furthermore, declarative descriptions of the conversion operations (such as available via software library functions) enable existing adaptation algorithms to be invoked without requiring programming effort. A running example in the paper illustrates the descriptors and techniques employed by the knowledge-based media adaptation system.

关键词： multimedia adaptation adaptation decision taking metadata MPEG-7 MPEG-21

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A comparison of opportunistic scheduling algorithms for streaming media in high-speed downlink packet access (HSDPA)

A comparison of opportunistic scheduling algorithms for stre...

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2nd International Workshop on multimedia Interactive Protocols and systems

作者： Farrokh, A Blömer, F Krishnamurthy, V Univ British Columbia Vancouver BC V5Z 1M9 Canada Tech Univ Munich D-8000 Munich Germany

ISBN: (纸本)3540239286

High-Speed Downlink Packet access (HSDPA) is the release 5 extension of WCDMA standard which provides high data rates (up to 10.8 Mbps) by using Adaptive Modulation/Coding (AMC) and fast packet scheduling. This paper presents a comparison of opportunistic scheduling algorithms for streaming media in HSDPA. We first present a discrete event model for HSDPA multimedia system and express stochastic QoS constraints that reflect the requirement for uninterrupted play-out. Next, we present a general structure of the opportunistic scheduling policies which exploit channel and/or buffer content variations for achieving the required QoS. By using computer simulations, we compare the performance of several special cases of the general policy in terms of the maximum number of the users that can be supported with the desired QoS constraint.

关键词： Scheduling algorithms

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Automatic methods for content -based access and summarization of video sequences

Automatic methods for content -based access and summarizatio...

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作者： Taskiran, Cuneyt Murat Purdue University

学位级别：Ph.D.

Depending on the specific information they are seeking, users desire flexible and intuitive methods to search and browse multimedia libraries. However, the cost of manually extracting the metadata to support such functionalities may be unrealistically high. Therefore, over the last decade there has been a great interest in designing and building systems that automatically analyze and index multimedia data, and retrieve its relevant parts. In this work we describe algorithms that facilitate browsing, searching, and summarization of video sequences. We propose shot transition detection algorithms for the detection of cut and dissolve types of shot transitions based on a binary tree regression classifiers framework. Our system is able to detect these transitions with high accuracy. We discuss stochastic models to model video program genres, such as news programs or sitcoms, and show how these can be applied to automatically detect the genre of a given program. We investigate the use of hidden Markov Models (HMMs) and stochastic context-free grammars (SCFGs) for modeling. Since the computational complexity of SCFG training is high, we develop a hybrid HMM-SCFG model that reduces the training time of the models considerably. Deriving compact representations of video sequences that are intuitive for users and let them easily and quickly browse large collections of video data is fast becoming one of the most important topics in content-based video processing. Such representations, which we will collectively refer to as video summaries, rapidly provide the user with information about the content of the particular sequence being examined, while preserving the essential message. We propose an automated method to generate video skims for information-rich video programs, such as documentaries, educational videos, and presentations, using statistical analysis based on speech transcripts that are obtained by automatic speech recognition (ASR) from the audio. Ideally one would lik

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A data mining framework for building a Web-page recommender system

A data mining framework for building a Web-page recommender ...

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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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A data mining framework for building a Web-page recommender system

A data mining framework for building a Web-page recommender ...

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IEEE International Conference on Information Reuse and Integration (IRI)

作者： C. Haruechaiyasak M.-L. Shyu S.-C. Chen Information Research and Development Division (RDI) National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA

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.

关键词： Data mining Recommender systems Information filtering Information filters User interfaces Intelligent agent Information analysis Collaboration Filtering algorithms Delay

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