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Conference on Visual Communications and Image Processing 2001

作者： Xie, H Ortega, A Univ So Calif Dept Elect Engn Syst Integrated Media Syst Ctr Los Angeles CA 90089 USA

ISBN: (纸本)0819439886

In semantic content-based image/video browsing and navigation systems, efficient mechanisms to represent and manage a large collection of digital images/videos are needed. Traditional keyword-based indexing describes the content of multimedia data through annotations such as text or keywords extracted manually by the user from a controlled vocabulary This textual indexing technique lacks the flexibility of satisfying various kinds of queries requested by database users and also requires huge amount of work for updating the information. Current content-based retrieval systems often extract a set of features such as color, texture, shape motion, speed, and position from the raw multimedia data automatically and store them as content descriptors. This content-based metadata differs from text-based metadata in that it supports wider varieties of queries and can be extracted automatically, thus providing a promising approach for efficient database access and management. When the raw data volume grows very large, explicitly extracting the content-information and storing it as metadata along with the images will improve querying performance since metadata requires much less storage than the raw image data and thus will be easier to manipulate. In this paper we maintain that storing metadata together with images will enable effective information management and efficient remote query. We also show, using a texture classification example, that this side information can be compressed while guaranteeing that the desired query accuracy is satisfied. We argue that the compact representation of the image contents not only reduces significantly the storage and transmission rate requirement, but also facilitates certain types of queries. algorithms are developed for optimized compression of this texture feature metadata given that tile goal is to maximize tile classification performance for a given rate budget.

关键词： metadata content-based retrieval texture classification compression bit allocation

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content-based retrieval for image databases

Content-based retrieval for image databases

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作者： Li, Fang Dalhousie University

学位级别：硕士

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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multimedia enriched ontologies for video digital libraries

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INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED systems 2007年第6期22卷 407-416页

作者： Bertini, Marco Del Bimbo, Alberto Torniai, Carlo Univ Firenze Florence Italy

The development of appropriate tools and solutions to support effective access to video content is one of the main challenges for video digital libraries. Different techniques for manual and automatic annotation and retrieval have been proposed in recent years. It is a common practice to use linguistic ontologies for video annotation and retrieval: video elements are classified by establishing relationships between video contents and linguistic terms that identify domain concepts at different abstraction levels. However, although linguistic terms are appropriate to distinguish event and object categories, they are inadequate when they must describe specific or complex patterns of events or video entities. Instead, in these cases, pattern specifications can be better expressed using visual prototypes, either images or video clips, that capture the essence of the event or entity. High level concepts, expressed trough linguistic terms, and patterns specification, represented by visual prototypes, can be both organized into new extended ontologies where images or video clips are added to the ontologies as specification of linguistic terms. This paper presents algorithms and techniques that employ enriched ontologies for video annotation and retrieval, and discusses a solution for their implementation for the soccer video domain. An unsupervised clustering method is proposed in order to create multimedia enriched ontologies by defining visual prototypes that represent specific patterns of highlights and adding them as visual concepts to the ontology. An algorithm that uses multimedia enriched ontologies to perform automatic soccer video annotation is proposed and results for typical highlights are presented. Annotation is performed associating occurrences of events, or entities, to higher level concepts by checking their similarity to visual concepts that are hierarchically linked to higher level semantics, using a dynamic programming approach. Usage of reasoning on the

关键词： Video Algorithm Annotation Ontology

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HIT-DML: A novel Digital Music Library

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6th International Conference on Asian Digital Libraries

作者： Wang, CK Li, JZ Shi, SF Harbin Inst Technol Dept Comp Sci & Engn Harbin Heilongjiang Peoples R China

ISBN: (纸本)3540206086

The design and implementation of Harbin Institute of Technology-Digital Music Library (HIT-DML) is presented in this paper. HIT-DML adopts a novel framework which is inherently based on database systems. In this framework, musical data is structurally stored in the database, some algorithms of musical computation are implemented as algebraic mirco-operations in the database management system, and thus database technologies and multimedia technologies are combined seamlessly. A musical feature-matching algorithm and the appropriate dynamic index are also applied in HIT-DML. HIT-DML can retrieve musical information based on content, especially against different kinds of musical instruments.

关键词： Digital Music Library content-based music information retrieval

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Fuzzy Association Rules vs Fuzzy Associative Patterns in Defending against Web Service Attacks 12

Fuzzy Association Rules vs Fuzzy Associative Patterns in Def...

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12th International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Chan, Gaik-Yee Chua, Fang-Fang Lee, Chien-Sing Multimedia Univ Fac Comp & Informat Cyberjaya Malaysia Univ Tunku Abdul Rahman Fac Creat Ind Petaling Jaya Malaysia

ISBN: (纸本)9781467376822

This paper presents a fuzzy association rule-based intrusion detection and prevention (FAR IDP) system that is implemented within an e-commerce Web service-based application. This system compares the effectiveness and efficiency of using 20 fuzzy association rules compared to 366 fuzzy associative patterns (FAP) to determine whether to definitely grant access to normal transaction, probably deny access for suspicious transaction or certainly deny access to transactions which may contain malicious inputs or XML content. Experimental results from our FAR IDP system have demonstrated that both rules-based and pattern-based algorithms are able to detect, prevent and predict Web service attacks such as SQL injection, XML injection, DoS and SOAP oversized close to real-time, with detection accuracy of not lower than 99%. There is also a slight difference in terms of time;the transaction time for FAP is almost doubled that of FAR's in ms. Additionally, with a transaction time of less than 0.25ms and a detection accuracy of greater than 99%, our FAR IDP has outperformed many other fuzzy and Web service-based IDP systems.

关键词： fuzzy association rules intrusion detection intrusion prevention Web services

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Toward Wi-Fi AP-Assisted content Prefetching for an On-Demand TV Series: A Learning-Based Approach

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IEEE TRANSACTIONS ON CIRCUITS AND systems FOR VIDEO TECHNOLOGY 2018年第7期28卷 1665-1676页

作者： Hu, Wen Jin, Yichao Wen, Yonggang Wang, Zhi Sun, Lifeng Tsinghua Univ Dept Comp Sci & Technol Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore Tsinghua Univ Grad Sch Shenzhen Shenzhen 518055 Peoples R China

The emergence of smart Wi-Fi access points (AP), which are equipped with huge storage space, opens a new research area on how to utilize these resources at the edge network to improve users' quality of experience (e.g., a short startup delay and smooth playback). One important research interest in this area is content prefetching which predicts and accurately fetches contents ahead of users' requests to shift the traffic away during peak periods. However, in practice, the different video watching patterns among users and the varying network connection status lead to the time-varying server load, which eventually makes the content prefetching problem challenging. To understand this challenge, this paper first performs a largescale measurement study on users' AP connection and TV series watching patterns using real traces. Then, based on the obtained insights, we formulate the content prefetching problem as a Markov decision process. The objective is to strike a balance between the increased prefetching and storage cost incurred by incorrect prediction and the reduced content download delay because of successful prediction. A learning-based approach is proposed to solve this problem and another three algorithms are adopted as baselines. In particular, first we investigate the performance lower bound by using a random algorithm and the upper bound by using an ideal offline approach. Then, we present a heuristic algorithm as another baseline. Finally, we design a reinforcement learning algorithm that is more practical to work in the online manner. Through extensive trace-based experiments, we demonstrate the performance gain of our design. Remarkably, our learning-based algorithm achieves a better precision and hit ratio (e.g., 80%) with about 70% (resp. 50%) cost saving compared to the random (resp. heuristic) algorithm.

关键词： Wi-Fi AP content prefetching learning-based approach

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Proceedings of the 9th Workshop on multimedia Metadata, WMM 2009 - Held in Conjunction with the 13th French multimedia Conference on Compression and Representation of Audiovisual Signals, CORESA 2009

Proceedings of the 9th Workshop on Multimedia Metadata, WMM ...

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9th Workshop on multimedia Metadata, WMM 2009 - Held in Conjunction with the 13th French multimedia Conference on Compression and Representation of Audiovisual Signals, CORESA 2009

The proceedings contain 13 papers. The topics discussed include: case studies on context-aware mobile multimedia services;content-based image retrieval systems - reviewing and benchmarking;delivery context descriptions - a comparison and mapping model;a novel tool for quick video summarization using keyframe extraction techniques;authoring interactive mobile services using MPEG-7 and MPEG-4 LASeR;an user study on rich media mobile guide applications;what algorithms for urban routing on mobile devices?;towards the use of multimedia contents to represent events in vehicular ad hoc networks;a multimedia service with MPEG-7 metadata and context semantics;a standards-based generic approach for complex multimedia management;contribution to the modeling of multimedia metadata in a distributed architecture;media center oriented Linux operating system;and a multi-level access control scheme for multimedia database.

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A Comprehensive Study on Various Encryption Techniques for Digital Images in multimedia Networks 2

A Comprehensive Study on Various Encryption Techniques for D...

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2nd IEEE International Conference on Integrated Circuits and Communication systems, ICICACS 2024

作者： Santhosha, Benaka Sudheesh, K.V. Kiran, K. Parameshachari, B.D. Dayanand Sagar University Harohalli Bengaluru Visvesveraya Technological University Department of CSE Belagavi India Vidyavardhaka College of Enginerring Mysuru Visvesveraya Technological University Department of ECE Belagavi India Nitte Meenakshi Institute of Technology Department of ECE Bengaluru India

ISBN: (纸本)9798350317558

Image encryption is a fundamental component of modern data security that guarantees the integrity, privacy, and confidentiality of sensitive visual content. This paper provides a thorough examination of image encryption, comparing and contrasting different encryption techniques and their benefits and limitations as well as real-world uses. In order to strengthen image data security against unwanted access and manipulation, we first offer some basic understanding of image encryption. The suitability of symmetric, asymmetric, and hybrid encryption techniques in various contexts is examined. We also explore the assessment criteria used to evaluate encryption algorithms, highlighting the significance of using suitable measures to precisely gauge security and effectiveness. We also discuss common issues with image encryption, like complicated key management and computational complexity. The review also explores future directions that picture encryption might take, including multi-media encryption techniques, resistance to cryptanalysis, and quantum image encryption. We also highlight how important image encryption is in a variety of fields, such as finance, healthcare, journalism, intellectual property protection, and military operations. We will conduct a thorough analysis of current cryptography schemes and multimedia encryption algorithms to provide a comprehensive overview of the current security landscape tailored to digital multimedia technology. The findings from this survey will enhance our understanding of the efficacy and dependability of secure multimedia encryption schemes, ultimately aiding in the development of more efficient and robust encryption methods for the future. This article aims to summarize and assess numerous algorithms using different methodologies based on multiple characteristics such as MSE, PSNR, NC, BER, and so on. © 2024 IEEE.

关键词： Cryptography Image multimedia Networks Security Attacks Steganography Watermarking

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content-based access of VRML libraries

Content-based access of VRML libraries

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IAPR International Workshop on multimedia Information Analysis and Retrieval, MINAR 1998

作者： Paquet, Eric Rioux, Marc Visual Information Technology Institute for Information Technology National Research Council Building M-50 Montreal Road OttawaONKlA 0R6 Canada

ISBN: (纸本)3540648267

This paper presents a new approach for the classification and retrieval of three-dimensional images and models from databases. A set of retrieval algorithms is introduced. These algorithms are content-based, meaning that the input is not made out of keywords but of three-dimensional models. Tensor of inertia, distribution of normals, distribution of cords and multiresolution analysis are used to describe each model. The database can be searched by scale, shape or color or any combination of these parameters. A user friendly interface makes the retrieval operation simple and intuitive and make it possible to edit reference models according to the specifications of the user. Experimental results using a database of more than 1000 VRML models are presented. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Database systems

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Supporting timeliness and accuracy in distributed real-time content-based video analysis

Supporting timeliness and accuracy in distributed real-time ...

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2003 multimedia Conference - Proceedings of the 11th ACM International Conference on multimedia, MM'03

作者： Eide, Viktor S. Wold Eliassen, Frank Granmo, Ole-Christoffer Lysne, Olav University of Oslo P.O. Box 1080 Blindern N-0314 Oslo Norway Simula Research Laboratory P.O. Box 134 N-1325 Lysaker Norway Agder University College Grooseveien 36 N-4876 Grimstad Norway

Real-time content-based access to live video data requires content analysis applications that are able to process the video data at least as fast as the video data is made available to the application and with an acceptable error rate. Statements as this express quality of service (QoS) requirements to the application. In order to provide some level of control of the QoS provided, the video content analysis application must be scalable and resource aware so that requirements of timeliness and accuracy can be met by allocating additional processing resources. In this paper we present a general architecture of video content analysis applications including a model for specifying requirements of timeliness and accuracy. The salient features of the architecture include its combination of probabilistic knowledge-based media content analysis with QoS and distributed resource management to handle QoS requirements, and its independent scalability at multiple logical levels of distribution. We also present experimental results with an algorithm for QoS-aware selection of configurations of feature extractor and classification algorithms that can be used to balance requirements of timeliness and accuracy against available processing resources. Experiments with an implementation of a real-time motion vector based object-tracking application, demonstrate the scalability of the architecture.

关键词： Real time systems

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