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Continuous Archiving of Group Digital Photograph Collections with a MPEG-7 Based Crowd Sourcing Annotation Methodology

Continuous Archiving of Group Digital Photograph Collections...

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8th IS & T and Archiving conference

作者： Kuo, Pei-Jeng Cheng, Po-Yu Su, Wei-Chen Chen, Sheng-Chih Natl Chengchi Univ Dept Comp Sci Taipei 11623 Taiwan Natl Chengchi Univ Masters Program Digital Content & Technol Taipei Taiwan Natl Chengchi Univ Coll Commun Masters Program Digital Content & Technol Taipei Taiwan

ISBN: (纸本)9780892082940

Following the increased convenience and availability of personal recording devices, the number of photographs and video clips one possesses can be multiplied at an accelerated speed. As a result of owning such a huge amount of digital data, one may encounter the difficulty of locating a specific photograph or video. Reformatting of the computer system or damaging on the hard disk also cause a potential risk of losing valuable personal data. Kuo, Aoki and Yasuda proposed an experiment personal archiving and retrieving image system called PARIS (Personal Archiving and Retrieving image System) [2] In PARIS, A MPEG-7 based multimedia description schema with extended spatial and temporal attributes is proposed to annotate personal multimedia data. While PARIS, the proposed experiment system, is designed and implemented specially towards the trend of continuous capture and storage for personal experience;it did not manage to utilize annotations that might come from recent emerging social networking enabled services. As a continuing project of PARIS, we initiated an experiment platform with thirty smart phone users. At the first stage, which last around six months, we encourage users to capture life events with smart phone cameras and to accumulate related photographs and video clips into our experiment database. In addition, we plan to extend this experiment with another 60 participants, which equipped with personal recording devices such as consumer digital cameras or digital video cameras in the near future. In this experiment database, we encourage users to upload their media files and provide related annotations. While we provide annotation options with previous. proposed MPEG-7 based multimedia description schema, the new system generates annotation suggestions semi-automatically according to various on-line photograph-hosting services. Known as social-tagging, our proposed system allows users and visitors to create tags based on our previous proposed MPEG-7 structur

关键词： Social-Tagging Information retrieval MPEG-7 Crowdsourcing

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7th International conference on Distributed Computing and Internet Technology, ICDCIT 2011

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7th International conference on Distributed Computing and Internet Technology, ICDCIT 2011

ISBN: (纸本)9783642190551

the proceedings contain 24 papers. the special focus in this conference is on Distributed Computing and Internet Technology. the topics include: Recursive competitive equilibrium approach for dynamic load balancing a distributed system;smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Network with Constraints;an incremental power greedy heuristic for strong minimum energy topology in wireless sensor networks;kthorder geometric spanners for wireless ad hoc networks;robust and distributed range-free localization using anchor nodes with varying communication range for three dimensional wireless sensor networks;decision support web service;a scalable architecture for real-time online data access;socially responsive resource usage: A protocol;An automated HSV based text tracking system from complex color video;protecting critical infrastructures while preserving each organization’s autonomy;enhanced insider threat detection model that increases data availability;checking anonymity levels for anonymized data;chaos based image encryption scheme based on enhanced logistic map;matrix insertion-deletion systems for bio-molecular structures;artificial bee colony based sensor deployment algorithm for target coverage problem in 3-D terrain;computations and interaction;scribbling interactions with a formal foundation;open government in policy development: From collaborative scenario texts to formal policy models;linear process algebra;jump-start cloud: Efficient deployment framework for large-scale cloud applications;Capacity estimation in HPC systems: Simulation approach;a multi–granular lock model for distributed object oriented databases using semantics.

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A Geometric Data Structure Applicable to image Mining and retrieval

A Geometric Data Structure Applicable to Image Mining and Re...

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7th International conference on image Analysis and Recognition

作者： Iwaszko, T. Melkemi, M. Idoumghar, L. Univ Haute Alsace LMIA MAGE F-68093 Mulhouse France

ISBN: (纸本)9783642137716

Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. this abundance of data leads us to two basic problems: how to exploit images (image mining)? Or how to make it accessible to human beings (image retrieval)? the specificity of image mining/retrieval among other similar topics (object recognition, machine vision, computer vision, etc.) is precisely that their techniques operate on the whole collection of images, not a single one. Under these circumstances, it is obvious that the time complexity of related algorithms plays an important role. In this paper, we suggest a novel general approach applicable to image mining and retrieval, using only compact geometric structures which can be pre-computed from a database.

关键词： Computer vision

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Efficient data centers, cloud computing in the future of distributed computing

Efficient data centers, cloud computing in the future of dis...

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7th International conference on Information Technology - New Generations, ITNG 2010

作者： Bein, Doina Bein, Wolfgang Phoha, Shashi Applied Research Laboratory Pennsylvania State University University Park PA 16802 United States School of Computer Science University of Nevada Las Vegas Las Vegas NV 89154 United States

ISBN: (纸本)9780769539843

Large corporations such as Amazon, Google, Microsoft, and Yahoo, use data centers to keep up with the growing demand for communication-hungry Internet services like image and video sharing, social networking, and searching. We study the problem of actually allocating the memory of servers in a data center based on online requests for storage. Given an online sequence of storage requests and a cost associated with serving the request by allocating space on a certain server, we use two efficient algorithms for selecting the minimum number of servers and of the minimum total cost. We show that both algorithms perform almost optimal when the requests have totally random values. © 2010 IEEE.

关键词： Digital storage

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A simple but effective approach to video copy detection

A simple but effective approach to video copy detection

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7th Canadian conference on Computer and Robot Vision, CRV 2010

作者： Roth, Gerhard Laganière, Robert Lambert, Patrick Lakhmiri, Ilias Janati, Tarik University of Ottawa Ottawa ON Canada Polytech Annecy-Chambéry Annecy France

ISBN: (纸本)9780769540405

video copy detection is an important task with many applications, especially since detecting copies is an alternative to watermarking. In this paper we describe a simple, but efficient approach that is easy to parallelize, works well, and has low storage requirements. We represent each video frame by a count of the number of SURF interest points in each of 4 by 4 quadrants, a total of 16 bytes per frame. this representation is tolerant of the typical transformations that exist in video, but is still computationally efficient and compact. the approach was tested on the TRECVID copy detection task, for which approximately 15 different groups submitted a solution. Performance was among the best for localization, and was approximately equal to the median with regards to the false positive/negative rate. However, performance varies significantly with the video transformation. We believe that the change in gamma, and decrease in video quality transformations are the most common in practice. For these transformations our method works well. © 2010 IEEE.

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Statistical Methods for Data Mining and Knowledge Discovery

Statistical Methods for Data Mining and Knowledge Discovery

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8th International conference on Formal Concept Analysis

作者： Vaillancourt, Jean UQO Gatineau QC J8X 3X7 Canada

ISBN: (纸本)9783642119279

this survey paper aims mainly at giving computer scientists a rapid bird's eye view, from a mathematician's perspective, of the main statistical methods used in order to extract knowledge from databases comprising various types of observations. After touching briefly upon the matters of supervision, data regularization and a brief review of the main models, the key issues of model assessment, selection and inference are perused. Finally, specific statistical problems arising from applications around data mining and warehousing are explored. Examples and applications are chosen mainly from the vast collection of image and video retrieval, indexation and classification challenges facing us today. © Springer-Verlag Berlin Heidelberg 2010.

关键词： Statistical methods

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Human Body Pose Estimation from Still images and video Frames

Human Body Pose Estimation from Still Images and Video Frame...

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7th International conference on image Analysis and Recognition

作者： El-Sallam, Amar A. Mian, Ajmal S. Univ Western Australia Sch Comp Sci & Software Engn Crawley WA 6009 Australia

ISBN: (纸本)9783642137716

this paper presents a marker-less approach for human body pose estimation. It employs skeletons extracted from 2D binary silhouettes of videos and uses a classification method to partition the resultant skeletons into five regions namely, the spine and four limbs. the classification method also identifies the neck, the head and the shoulders. Using the center of mass principles, a model is fitted to the body parts. the spine is modeled with a 2(nd) order curve while each limb is modeled by two intersected lines. Finally, the model parameters represented by a reference point and two angles belonging to the lines are estimated and the pose is reconstructed. the proposed approach can estimate body poses from single images as well as multiple frames and is considerably robust to occlusions. Unlike existing methods, our approach is computationally efficient and can track human motion while correcting for pose errors using multiple frames. the proposed approach was tested on real videos from MuHAVi and MAS databases and gave promising results.

关键词： Musculoskeletal system

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Local Directional Pattern (LDP) – A Robust image Descriptor for Object Recognition

Local Directional Pattern (LDP) – A Robust Image Descriptor...

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IEEE conference on Advanced video and Signal Based Surveillance (AVSS)

作者： Taskeed Jabid Md. Hasanul Kabir Oksam Chae Department of Computer Engineering Kyung Hee University South Korea

this paper presents a novel local feature descriptor, the Local Directional Pattern (LDP), for describing local image feature. A LDP feature is obtained by computing the edge response values in all eight directions at each pixel position and generating a code from the relative strength magnitude. Each bit of code sequence is determined by considering a local neighborhood hence becomes robust in noisy situation. A rotation invariant LDP code is also introduced which uses the direction of the most prominent edge response. Finally an image descriptor is formed to describe the image (or image region) by accumulating the occurrence of LDP feature over the whole input image (or image region). Experimental results on the Brodatz texture database show that LDP impressively outperforms the other commonly used dense descriptors (e.g.,Gabor-wavelet and LBP).

关键词： image edge detection Histograms Pixel Robustness Lighting databases Noise

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A Framework for an Event Driven video Surveillance System

A Framework for an Event Driven Video Surveillance System

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IEEE conference on Advanced video and Signal Based Surveillance (AVSS)

作者： Declan Kieran WeiQi Yan Speech Image and Vision Systems Institute of ECIT School of EEECS Queen''s University Belfast UK

In this paper we present an event driven surveillance system. the purpose of this system is to enable thorough exploration of surveillance events. the system uses a client-server web architecture as this provides scalability for further development of the system infrastructure. the system is designed to be accessed by surveillance operators who can review and comment on events generated by our event detection processing modules. the presentation interface is based around a cross between Gmail and YouTube, as we believe these interfaces to be intuitive for ordinary computer operators. Our motivation is to fully utilize the events archived in our database and to further refine the relevant events. We do not just focus on event detection, but are working towards the optimization of event detection. To the best of our knowledge this system provides a novel approach to the technological surveillance paradigm.

关键词： Surveillance Sensors Event detection Media databases Semantics Streaming media

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Person Re-identification Using Haar-based and DCD-based Signature

Person Re-identification Using Haar-based and DCD-based Sign...

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IEEE conference on Advanced video and Signal Based Surveillance (AVSS)

作者： Sławomir Ba̧k Etienne Corvee Francois Brémond Monique thonnat INRIA Sophia Antipolis PULSAR group Sophia Antipolis Cedex France

In many surveillance systems there is a requirement to determine whether a given person of interest has already been observed over a network of cameras. this paper presents two approaches for this person re-identification problem. In general the human appearance obtained in one camera is usually different from the ones obtained in another camera. In order to re-identify people the human signature should handle difference in illumination, pose and camera parameters. Our appearance models are based on hoar-like features and dominant color descriptors. the AdaBoost scheme is applied to both descriptors to achieve the most invariant and discriminative signature. the methods are evaluated using benchmark video sequences with different camera views where people are automatically detected using Histograms of Oriented Gradients (HOG). the reidentification performance is presented using the cumulative matching characteristic (CMC) curve.

关键词： Humans image color analysis Cameras Pixel Hypercubes Feature extraction databases

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