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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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Edit while watching: home video editing made easy

Edit while watching: home video editing made easy

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Conference on multimedia content access - algorithms and systems

作者： Campanella, Marco Weda, Hans Barbieri, Mauro Philips Res Europe High Tech Campus 34 NL-5656 AE Eindhoven Netherlands

ISBN: (纸本)9780819466198

In recent years, more and more people capture their experiences in home videos. However, home video editing still is a difficult and time-consuming task. We present the Edit While Watching system that allows users to automatically create and change a summary of a home video in an easy, intuitive and lean-back way. Based on content analysis, video is indexed, segmented, and combined with proper music and editing effects. The result is an automatically generated home video summary that is shown to the user. While watching it, users can indicate whether they like certain content, so that the system will adapt the summary to contain more content that is similar or related to the displayed content. During the video playback users can also modify and enrich the content, seeing immediately the effects of their changes. Edit While Watching does not require a complex user interface: a TV and a few keys of a remote control are sufficient. A user study has shown that it is easy to learn and to use, even if users expressed the need for more control in the editing operations and in the editing process.

关键词： automatic video editing content analysis film grammar video summarization home video summarization smart user interaction

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Multi-module human motion analysis from a monocular video

Multi-module human motion analysis from a monocular video

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Conference on multimedia content access - algorithms and systems

作者： Lao, Weilun Han, Jungong de With, Peter H. N. Eindhoven Univ Technol POB 513 NL-5600 MB Eindhoven Netherlands LogicaCMG Netherlands NL-5600 JB Eindhoven Netherlands

ISBN: (纸本)9780819466198

In this paper, we propose an effective framework for semantic analysis of human motion from a monocular video. As it is difficult to find a good motion description for humans, we focus on a reliable recognition of the motion type and estimate the body orientation involved in the video sequence. Our framework analyzes the body motion in three modules: a pre-processing module, matching module and semantic module. The proposed framework includes novel object-level processing algorithms, such as a local descriptor and a global descriptor to detect body parts and analyze the shape of the whole body as well. Both descriptors jointly contribute to the matching process by incorporating them into a new weighted linear combination for matching. We also introduce a simple cost function based on time-index differences to distinguish motion types and cycles in human motions. Our system can provide three different types of analysis results: (1) foreground person detection;(2) motion recognition in the sequence;(3) 3-D modeling of human motion based on generic human models. The proposed framework was evaluated and proved its effectiveness as it achieves the motion recognition and body-orientation classification at the accuracy of 95 % and 98 %, respectively.

关键词： human motion content analysis 3-D modeling feature extraction

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Data mining learning bootstrap through semantic thumbnail analysis

Data mining learning bootstrap through semantic thumbnail an...

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Conference on multimedia content access - algorithms and systems

作者： Battiato, Sebastiano Farinella, Giovanni Maria Giuffrida, Giovanni Tribulato, Giuseppe Univ Catania Dipartimento Matemat & Informat Viale Andrea Doria6 I-95125 Catania Italy

ISBN: (纸本)9780819466198

The rapid increase of technological innovations in the mobile phone industry induces the research community to develop new and advanced systems to optimize services offered by mobile phones operators (telcos) to maximize their effectiveness and improve their business. Data mining algorithms can run over data produced by mobile phones usage (e.g. image, video, text and logs files) to discover user's preferences and predict the most likely (to be purchased) offer for each individual customer. One of the main challenges is the reduction of the learning time and cost of these automatic tasks. In this paper we discuss an experiment where a commercial offer is composed by a small picture augmented with a short text describing the offer itself. Each customer's purchase is properly logged with all relevant information. Upon arrival of new items we need to learn who the best customers (prospects) for each item are, that is, the ones most likely to be interested in purchasing that specific item. Such learning activity is time consuming and, in our specific case, is not applicable given the large number of new items arriving every day. Basically, given the current customer base we are not able to learn on all new items. Thus, we need somehow to select among those new items to identify the best candidates. We do so by using a joint analysis between visual features and text to estimate how good each new item could be, that is, whether or not is worth to learn on it. Preliminary results show the effectiveness of the proposed approach to improve classical data mining techniques.

关键词： semantic image analysis data mining content based image retrieval learning bootstrap

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A unified and efficient framework for court-net sports video analysis using 3-D camera modeling

A unified and efficient framework for court-net sports video...

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Conference on multimedia content access - algorithms and systems

作者： Han, Jungong de With, Peter H. N. Eindhoven Univ Technol POB 513 NL-5600 MB Eindhoven Netherlands RTSE LogicaCMG NL-5605 JB Eindhoven Netherlands

ISBN: (纸本)9780819466198

The extensive amount of video data stored on available media (hard and optical disks) necessitates video content analysis, which is a cornerstone for different user-friendly applications, such as, smart video retrieval and intelligent video summarization. This paper aims at finding a unified and efficient framework for court-net sports video analysis. We concentrate on techniques that are generally applicable for more than one sports type to come to a unified approach. To this end, our framework employs the concept of multi-level analysis, where a novel 3-D camera modeling is utilized to bridge the gap between the object-level and the scene-level analysis. The new 3-D camera modeling is based on collecting features points from two planes, which are perpendicular to each other, so that a true 3-D reference is obtained. Another important contribution is a new tracking algorithm for the objects (i.e. players). The algorithm can track up to four players simultaneously. The complete system contributes to summarization by various forms of information, of which the most important are the moving trajectory and real-speed of each player, as well as 3-D height information of objects and the semantic event segments in a game. We illustrate the performance of the proposed system by evaluating it for a variety of court-net sports videos containing badminton, tennis and volleyball, and we show that the feature detection performance is above 92% and events detection about 90%.

关键词： sports video content analysis camera calibration 3-D modeling tracking feature extraction

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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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SIGMAP 2007 - Proceedings of the International Conference on Signal Processing and multimedia Applications

SIGMAP 2007 - Proceedings of the International Conference on...

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SIGMAP 2007 - International Conference on Signal Processing and multimedia Applications

The proceedings contain 74 papers. The topics discussed include: IMS secured content delivery over peer-to-peer networks;a methodology for the development of live audio and video services;performance of audio/video services on constrained variable user access lines;fusion predictors for discrete-time linear systems with multisensor environment;small tricks to enhance the accuracy of license plate character recognition;unsupervised algorithms for segmentation and clustering applied to soccer players classification;an improved super resolution reconstruction algorithm for video sequence;searching for a robust MFCC-based parameterization for ASR application;image restoration - a new explicit approach in filtering and restoration of digital images;adaptive and cooperative segmentation system for mono- and multi-component images;and a three-layer system for image retrieval.

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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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Design of a content based multimedia retrieval system

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WSEAS Transactions on Computers 2007年第3期6卷 413-418页

作者： Chung, Yuk Ying Ng, Ka Yee Liu, Liwei Chen, Xiaoming Shukran, Mohd Afizi Mohd Choi, Eric H.C. Shi, David Yu Chen, Fang School of Information Technologies University of Sydney Sydney NSW 2006 Australia Multimodal User Interface Program National ICT for Australia Eleveigh NSW 1435 Australia

The large and growing amount of digital data, and the development of the Internet highlight the need to develop sophisticated access methods that provide more than just simple text-based queries. Many programs have been developed with complex mathematics algorithms to allow the transformation of image or audio data in a way that enchances searching accuracy. However it becomes difficult when dealing with large sets of multimedia data. This paper proposes and demonstrates a content Based multimedia Retrieval System (CBMRS). The proposed CBMRS includes both video and audio retrieval systems. The content Based Video Retrieval System (CBVRS) based on DCT and clustering algorithms. The audio retrieval system based on Mel-Frequency Cepstral Coefficients (MFCCs), the Dynamic Time Warping (DTW) algorithm and the Nearest Neighbor (NN) rule.

关键词： multimedia systems

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Walsh-like nonlinear phase orthogonal codes for direct sequence CDMA communications

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2007年第7期55卷 3800-3806页

作者： Akansu, Ali N. Poluri, Radha New Jersey Inst Technol Dept Elect & Comp Engn Newark NJ 07102 USA

Walsh codes are perfectly orthogonal binary (antipodal) block codes that found their use in many popular applications over several decades including synchronous multiuser communications. It is well known in the literature that they perform poorly for the case of asynchronous multiuser communications. Therefore, the near-orthogonal and nonlinear phase Gold codes with better performance are the preferred user codes in asynchronous direct sequence code division multiple access (DS-CDMA) communications standards. In this paper, we relaxed linear phase requirements and new sets of Walsh-like nonlinear phase binary orthogonal user codes (transforms) are obtained for asynchronous and synchronous spread spectrum multiuser communications. It is shown that the proposed binary user code family outperforms the Walsh codes significantly and they match in performance with the popular, nearly orthogonal Gold codes closely for asynchronous multiuser communications in additive white Gaussian noise (AWGN) channels. It is also shown that all. of the binary code families considered in this paper performed comparable for Rayleigh flat-fading channels. We present in this paper that there are a good number of such desirable code sets available in the binary sample space with different transform sizes. These new binary sets with good performance and flexible code lengths might help us to improve the spread spectrum multiplexing capabilities of future wireline and wireless CDMA communications systems.

关键词： additive white Gaussian noise (AWGN) channel code division multiple access (CDMA) Gold sequences orthogonal binary codes Rayleigh flat-fading channel Walsh sequences

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