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检索条件"任意字段=Multimedia Content Access: Algorithms and Systems III"

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Overcome the shortcoming in mobile stereoscopy

Overcome the shortcoming in mobile stereoscopy

引用

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

作者： Lee, Kwang-Hoon Kim, Sung-Kyu Konkuk Univ Dept Adv Technol Fus Seoul South Korea KIST Imaging Media Res Ctr Seoul South Korea

ISBN: (纸本)9780819484185

The mobile device has the lacked space for configuring cameras to make either ortho- or hyperstereoscopic condition with a small size of display. Therefore mobile stereoscopy cannot provide a presence with a good depth sense to an observer. To solve this problem, we focused on the depth sense control method with a switchable stereo camera alignment. In converging type, the fusible stereo area becomes wider compared to a parallel type when the same focal length was used in both types. This matter makes it that the stereo fusible area formed by converging type to be equal to the parallel type with a more shorten focal length. Therefore there is a kind of the zoom-out effect at the reconstructed depth sense. In diverging type, the fusible stereo area becomes narrower than the parallel. As the same way, the diverging type guarantees a similar characteristic of that an increased focal length is considered in parallel type. Therefore there is a zoom-in effect existing. Stereoscopic zoom-in depth effect becomes rapidly changed by the increased angle but zoom-out becomes retarded relatively.

关键词： Stereoscopic cameras Cameras Sensors Stereoscopy Distributed interactive simulations Image processing Imaging systems Mobile devices Image sensors multimedia

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Know Your Data: Understanding Implicit Usage versus Explicit Action in Video content Classification

Know Your Data: Understanding Implicit Usage versus Explicit...

引用

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

作者： Yew, Jude Shamma, David A. Yahoo Res Santa Clara CA 95054 USA

ISBN: (纸本)9780819484185

In this paper, we present a method for video category classification using only social metadata from websites like YouTube. In place of content analysis, we utilize communicative and social contexts surrounding videos as a means to determine a categorical genre, e. g. Comedy, Music. We hypothesize that video clips belonging to different genre categories would have distinct signatures and patterns that are reflected in their collected metadata. In particular, we define and describe social metadata as usage or action to aid in classification. We trained a Naive Bayes classifier to predict categories from a sample of 1,740 YouTube videos representing the top five genre categories. Using just a small number of the available metadata features, we compare the classifications produced by our Naive Bayes classifier with those provided by the uploader of that particular video. Compared to random predictions with the YouTube data (21% accurate), our classifier attained a mediocre 33% accuracy in predicting video genres. However, we found that the accuracy of our classifier significantly improves by nominal factoring of the explicit data features. By factoring the ratings of the videos in the dataset, the classifier was able to accurately predict the genres of 75% of the videos. We argue that the patterns of social activity found in the metadata are not just meaningful in their own right, but are indicative of the meaning of the shared video content. The results presented by this project represents a first step in investigating the potential meaning and significance of social metadata and its relation to the media experience.

关键词： Video Social Categorization YouTube Naive Bayes Classification

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Material Classification and Automatic content Enrichment of Images Using Supervised Learning and Knowledge Bases

Material Classification and Automatic Content Enrichment of ...

引用

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

作者： Mallepudi, Sri Abhishikth Calix, Ricardo A. Knapp, Gerald M. Louisiana State Univ Baton Rouge LA 70803 USA

ISBN: (纸本)9780819484185

In recent years there has been a rapid increase in the size of video and image databases. Effective searching and retrieving of images from these databases is a significant current research area. In particular, there is a growing interest in query capabilities based on semantic image features such as objects, locations, and materials, known as content-based image retrieval. This study investigated mechanisms for identifying materials present in an image. These capabilities provide additional information impacting conditional probabilities about images (e. g. objects made of steel are more likely to be buildings). These capabilities are useful in Building Information Modeling (BIM) and in automatic enrichment of images. I2T methodologies are a way to enrich an image by generating text descriptions based on image analysis. In this work, a learning model is trained to detect certain materials in images. To train the model, an image dataset was constructed containing single material images of bricks, cloth, grass, sand, stones, and wood. For generalization purposes, an additional set of 50 images containing multiple materials (some not used in training) was constructed. Two different supervised learning classification models were investigated: a single multi-class SVM classifier, and multiple binary SVM classifiers (one per material). Image features included Gabor filter parameters for texture, and color histogram data for RGB components. All classification accuracy scores using the SVM-based method were above 85%. The second model helped in gathering more information from the images since it assigned multiple classes to the images. A framework for the I2T methodology is presented.

关键词： Image classification Binary data RGB color model Machine learning Image filtering Data modeling Feature extraction Databases Buildings content based image retrieval

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Subjective evaluation of mobile 3D video content: depth range versus compression artifacts

Subjective evaluation of mobile 3D video content: depth rang...

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

作者： Jumisko-Pyykko, Satu Haustola, Tomi Boev, Atanas Gotchev, Atanas Tampere Univ Technol Unit Human Centered Technol POB 589 FI-33101 Tampere Finland Tampere Univ Technol Dept Signal Proc FI-33101 Tampere Finland

ISBN: (纸本)9780819484185

Mobile 3D television is a new form of media experience, which combines the freedom of mobility with the greater realism of presenting visual scenes in 3D. Achieving this combination is a challenging task as greater viewing experience has to be achieved with the limited resources of the mobile delivery channel such as limited bandwidth and power constrained handheld player. This challenge sets need for tight optimization of the overall mobile 3DTV system. Presence of depth and compression artifacts in the played 3D video are two major factors that influence viewer's subjective quality of experience and satisfaction. The primary goal of this study has been to examine the influence of varying depth and compression artifacts on the subjective quality of experience for mobile 3D video content. In addition, the influence of the studied variables on simulator sickness symptoms has been studied and vocabulary-based descriptive quality of experience has been conducted for a sub-set of variables in order to understand the perceptual characteristics in detail. In the experiment, 30 participants have evaluated the overall quality of different 3D video contents with varying depth ranges and compressed with varying quantization parameters. The test video content has been presented on a portable autostereoscopic LCD display with horizontal double density pixel arrangement. The results of the psychometric study indicate that compression artifacts are a dominant factor determining the quality of experience compared to varying depth range. More specifically, contents with strong compression has been rejected by the viewers and deemed unacceptable. The results of descriptive study confirm the dominance of visible spatial artifacts along the added value of depth for artifact-free content. The level of visual discomfort has been determined as not offending.

关键词： mobile 3D television subjective evaluation quality of experience quality perception

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Revised Benchmarking of Contact-less Fingerprint Scanners for Forensic Fingerprint Detection: Challenges and Results for Chromatic White Light Scanners (CWL)

Revised Benchmarking of Contact-less Fingerprint Scanners fo...

引用

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

作者： Kiltz, Stefan Leich, Marcus Dittmann, Jana Vielhauer, Claus Ulrich, Michael Otto Von Guericke Univ Res Grp Multimedia & Secur POB 4120 Magdeburg Germany Brandenburg Univ Appl Sci Dept Informat & Media Brandenburg Germany State Police Headquarters Saxony Anhalt D-39124 Magdeburg Germany

ISBN: (纸本)9780819484185

Mobile contact-less fingerprint scanners can be very important tools for the forensic investigation of crime scenes. To be admissible in court, data and the collection process must adhere to rules w.r.t. technology and procedures of acquisition, processing and the conclusions drawn from that evidence. Currently, no overall accepted benchmarking methodology is used to support some of the rules regarding the localisation, acquisition and pre-processing using contact-less fingerprint scanners. Benchmarking is seen essential to rate those devices according to their usefulness for investigating crime scenes. Our main contribution is a revised version of our extensible framework for methodological benchmarking of contact-less fingerprint scanners using a collection of extensible categories and items. The suggested main categories describing a contact-less fingerprint scanner are properties of forensic country-specific legal requirements, technical properties, application-related aspects, input sensory technology, pre-processing algorithm, tested object and materials. Using those it is possible to benchmark fingerprint scanners and describe the setup and the resulting data. Additionally, benchmarking profiles for different usage scenarios are defined. First results for all suggested benchmarking properties, which will be presented in detail in the final paper, were gained using an industrial device (FRT MicroProf200) and conducting 18 tests on 10 different materials.

关键词： Benchmarking contact-less optical sensors latent fingerprints

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An efficient method for the unsupervised discovery of signalling motifs in large audio streams

An efficient method for the unsupervised discovery of signal...

引用

International Workshop on content-Based multimedia Indexing

作者： Muscariello, Armando Gravier, Guillaume Bimbot, Frédéric Rennes France

ISBN: (纸本)9781612844336

Providing effective tools to navigate and access through long audio archives, or monitor and classify broadcast streams, proves to be an extremely challenging task. Main issues originate from the varied nature of patterns of interest in a composite audio environment, the massive size of such databases, and the capability of performing when prior knowledge on audio content is scarce or absent. This paper proposes a computational architecture aimed at discovering occurrences of repeating patterns in audio streams by means of unsupervised learning. The targeted repetitions (or motifs) are called signalling, by analogy with a biological nomenclature, as referring to a broad class of audio patterns (as jingles, songs, advertisements, etc...) frequently occurring in broadcast audio. We adapt a system originally developed for word discovery applications, and demonstrate its effectiveness in a song discovery scenario. The adaption consists in speeding up critical parts of the computations, mostly based on audio feature coarsening, to deal with the large occurrence period of repeating songs in radio streams. © 2011 IEEE.

关键词： Accuracy Computer architecture Heuristic algorithms Libraries Pattern matching Search problems Speech audio archive audio content audio databases audio stream audio streaming biological nomenclature broadcast stream data mining signalling motif unsupervised discovery unsupervised learning unsupervised learning word discovery application

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Load-balanced migration of social media to content clouds

Load-balanced migration of social media to content clouds

引用

21st International Workshop on Network and Operating systems Support for Digital Audio and Video, NOSSDAV 2011

作者： Cheng, Xu Liu, Jiangchuan School of Computing Science Simon Fraser University Burnaby BC Canada

ISBN: (纸本)9781450307529

Social networked applications have been more and more popular, and have brought great challenges to the network engineering, particularly the huge demands of bandwidth and storage for social media. The recently emerged content clouds shed light on this dilemma. Towards the migration to clouds, partitioning the social contents has drawn significant interests from the literature. Yet the existing works focus on preserving the social relationship only, while an important factor, user access pattern, is largely overlooked. In this paper, by examining a large collection of YouTube video data, we first demonstrate that partitioning the network entirely based on social relationship would lead to unbalanced partitions in terms of access. We further analyze the role of social relationship in the social media applications, and conclude that user access pattern should be taken into account and social relationship should be dynamically preserved. We formulate the problem as a constrained k-medoids clustering problem, and propose a novel Weighted Partitioning Around Medoids (wPAM) solution. We present a dissimilarity/similarity metric to facilitate the preservation of the social relationship. We compare our solution with other state-of-the-art algorithms, and the preliminary results show that it significantly decreases the access deviation in each cloud server, and flexibly preserves the social relationship. © 2011 ACM.

关键词： Digital storage

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Proceedings of SPIE-IS and T Electronic Imaging - Imaging and Printing in a Web 2.0 World;and multimedia content access: algorithms and systems IV

Proceedings of SPIE-IS and T Electronic Imaging - Imaging an...

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Imaging and Printing in a Web 2.0 World;and multimedia content access: algorithms and systems IV

ISBN: (纸本)9780819479334

The proceedings contain 36 papers. The topics discussed include: contextual advertisement placement in printed media;content-based image retrieval with ontological ranking;a case study on rule-based and CRF-based author extraction methods;new performance evaluation models for character detection in images;navigating web search results;cloud-based printing for mobile devices;using ePub as framework for the automated collection, tagging, and transformation of web content for cross-media publication;a web-based rapid assessment tool for production publishing solutions;an investigation of document aesthetics for web-to-print repurposing of small-medium business marketing collateral;learning from graphic designers: using grids as a scaffolding for automatic print layout;ubiquitous picture-rich content representation;a novel XML-based document format with printing quality for web publishing;and faces from the web: automatic selection and composition of media for casual screen consumption and printed artwork.

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Multi-format Index Data Structure (MIDS) for multimedia container format demultiplexers

Multi-format Index Data Structure (MIDS) for multimedia cont...

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International Conference on Electronic Devices, systems and Applications (ICEDSA)

作者： S.K. Sumanth P. Namratha R. Naveen Kumar N. Ramakrishna Ittiam Systems Pvt. Ltd Bangalore India

multimedia players typically provide a `random-access' feature (also known as seek-to-time) for the user to be able to set the current playing position. While the same is expected of multimedia players on embedded devices, the memory and processing power constraints of the embedded devices pose several challenges in being able to provide an efficient and responsive user experience. This is a particularly significant challenge for large files (especially High-Definition HD video files), and when the multimedia file resides on a slow Input- Output (I/O) device (such as Secure Digital or SD card). In this paper, we propose an indexing mechanism based on a Multi-format Index Data Structure (MIDS). Many previous attempts to create indexing tables have been made but this, we believe, is the first systematic attempt to provide a multi container format and multi-entry format indexing. The proposed index data structure has a time complexity of O (1) for entry retrieval and Ω (1) for entry addition, with a space complexity of O(1). The use of the index data structure in container format demultiplexers results in a dramatic reduction of the seek-to-time operation to about one-tenth (10%) or one-half (50%) of the original time, even with very small index table sizes (1 Kilo Bytes). The result is a more responsive user experience. The proposed index data structure can also be utilized in gaining efficiency through indexing multimedia files in multimedia content Servers (such as YouTube servers) and in indexing Flat File Data Bases.

关键词： Data structures Indexing multimedia communication Containers Heuristic algorithms Complexity theory

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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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