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Web-Scale Multimedia Processing and Applications [Scanning the Issue]

Edward Chang, Shih-Fu Chang, Alexander G. Hauptmann, Thomas S. Huang, Malcolm Slaney
2012 Proceedings of the IEEE  
Yang et al., in the paper entitled BA framework for classifier adaptation for large-scale multimedia data,[ tackle the heterogeneity challenge in large-scale multimedia data using cross-domain model adaptation  ...  methods to construct linear classifiers suitable for large-scale applications.  ... 
doi:10.1109/jproc.2012.2204110 fatcat:x6qqftnulbgovjcluiqiq7ulh4

Tenth international workshop on multimedia data mining

Valery A. Petrushin, Jia-Yu (Tim) Pan, Cees G.M. Snoek
2011 SIGKDD Explorations  
In this report we provide a summary of the tenth Multimedia Data Mining Workshop that was held in conjunction with the 16th ACM  ...  The ninth paper "Web Scale Computer Vision using MapReduce for Multimedia Data Mining" (White, Yeh, Lin, Davis) explores computer vision applications of the MapReduce framework.  ...  For example, tools are needed for discovering relationships between objects or segments within images, managing multimedia data in the WWW, classifying images based on their content, extracting patterns  ... 
doi:10.1145/1964897.1964909 fatcat:pmhjo25aorhslicey2ljgsyo3q

Future Research Directions for Dataspaces, Data Ecosystems, and Intelligent Systems [chapter]

Edward Curry
2019 Real-time Linked Dataspaces  
Next, in Sect. 18.3 the chapter explores the research landscape towards 2030 by identifying the principal research directions for the dataspaces, data ecosystems, and intelligent systems, including large-scale  ...  decentralised support services, multimedia/knowledge-intensive event processing, trusted data sharing, data governance, and economic models, evolving intelligent systems engineering and cognitive adaptability  ...  . • Adaptive Training of Classifiers: To effectively process multimedia data, dataspaces will need to be able to assemble the appropriate classifiers to extract features from multimedia content based on  ... 
doi:10.1007/978-3-030-29665-0_18 fatcat:wfq4wvyzxvhhdnesokuhjpinuq

A Semantics and Data-Driven Biomedical Multimedia Software System

Shih-Hsi Liu, Yu Cao, Ming Li, Pranay Kilaru, Thell Smith, Shaen Toner
2010 Journal of Multimedia  
Developing a large-scale biomedical multimedia software system is always a challenging task: Satisfaction of sundry and stringent biomedical multimedia related requirements and standards; Heterogeneous  ...  for processing biomedical multimedia data may be discovered, performed, tuned up or replaced as needed.  ...  INTRODUCTION Developing a large-scale multimedia software system is always a challenging task: Such a system is usually characterized by intensive nature of multimedia data and inherent complexity among  ... 
doi:10.4304/jmm.5.4.352-360 fatcat:lsud2hwehrbhvp5r43tlcour6q

Guest Editorial: Large-scale Multimedia Data Management: Techniques and Applications

Jason C. Hung, Makoto Takizawa, Shu-Ching Chen
2016 Multimedia tools and applications  
[13] proposed the duplicate video detection for large-scale multimedia that is based on block histogram. It uses a dynamic matching algorithm for fast and real-time process of large-scale data.  ...  interaction & Mobile and multi-device empowered multimedia & Large-scale multimedia data management & Ubiquitous/pervasive data for multimedia & Social media and presence & Cloud-based multimedia services  ... 
doi:10.1007/s11042-016-3806-3 fatcat:mc4uopsyxfcn7irbyln2fhcpg4

Resource-adaptive multimedia analysis on stream mining systems

D. S. Turaga, R. Yan, O. Verscheure, B. Foo, F. Fu, H. Park, M. van der Schaar
2009 2009 IEEE International Conference on Multimedia and Expo  
In this paper, we present a summary of our work in building systems and applications for resource adaptive semantic concept detection in multimedia using large-scale distributed stream mining systems.  ...  Large-scale multimedia semantic concept detection requires realtime identification of a set of concepts in streaming video or large image datasets.  ...  RESOURCE-ADAPTIVE CONCEPT DETECTION Consider a binary classifier (concept detector) Ci in the topology shown in Figure 1 . The total data rate or throughput entering C i is labeled t i−1 .  ... 
doi:10.1109/icme.2009.5202818 dblp:conf/icmcs/TuragaYVFFPS09 fatcat:d7v3nthi6nbvhpqsyfukk57hh4

A Semantics- and Data-Driven SOA for Biomedical Multimedia Systems

Shih-Hsi Liu, Yu Cao, Ming Li, Pranay Kilaru, Thell Smith, Shaen Toner
2008 2008 Tenth IEEE International Symposium on Multimedia  
large-scale biomedical multimedia database systems is a challenging task.  ...  , appropriate services for processing biomedical multimedia data may be discovered, performed, tuned up or replaced as needed.  ...  Biomedical multimedia domain, among various disciplines advocating SOA, is an example that hopes SOA as their silver bullets for developing large-scale multimedia database software systems, featuring intensive  ... 
doi:10.1109/ism.2008.114 dblp:conf/ism/LiuCLKST08 fatcat:7viur2gzjzdirdlmmytosxnfji

Guest Editorial: Large-scale 3D Multimedia Analysis and Applications

Sicheng Zhao, Jun Zhang, Yi Zhen
2018 Multimedia tools and applications  
The proliferation of such applications has produced explosively growing 3D multimedia data, which lead to the requirement for large-scale 3D data analysis.  ...  This special issue targets the most recent technical progress on the analysis and applications of large-scale 3D multimedia.  ...  To conclude, the eight papers contained in this special issue cover several emerging topics of large-scale 3D multimedia analysis and applications.  ... 
doi:10.1007/s11042-018-6359-9 fatcat:r64axz5pzzau7hurkhxhch6xhq

2021 Index IEEE Open Journal of the Computer Society Vol. 2

2021 IEEE Open Journal of the Computer Society  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, OJCS 2021 241-259 D Data analysis Lattice: A Vision for Machine Learning, Data Engineering, and Policy Con-siderations for Digital Agriculture at Scale.  ...  Large-Scale IoT Backscatter Networks; OJCS 2021 334-345 Zeng, X., Lin, S., and Liu, C., Multi-View Deep Learning Framework for Pre-mation Leaks.  ... 
doi:10.1109/ojcs.2022.3141950 fatcat:l2abkosddfg3tezjk6b7psunyq

IEEE Access Special Section Editorial: Mobile Multimedia for Healthcare

M. Shamim Hossain, Stefan Gobel, Changsheng Xu, Abdulmotaleb El Saddik
2020 IEEE Access  
The experimental results carried out on a large-scale data set validate the proposed methodology with an average accuracy and recognition rates superior to 92%.  ...  The implementation and test results show that the framework can be scaled and adapted to different languages and populations.  ... 
doi:10.1109/access.2020.3017119 fatcat:w5zizqzkw5bj5c5drey4aubhrm

Ensemble Learning with LDA Topic Models for Visual Concept Detection [chapter]

Sheng Tang, Yan-Tao Zheng, Gang Cao, Yong-Dong Zhang, Jin-Tao Li
2012 Multimedia - A Multidisciplinary Approach to Complex Issues  
Inspired by these studies, for multimedia data of high dimension and diversified patterns, it is necessary to construct large scale training dataset to reflect all sorts of patterns as much as possible  ...  For a given test sample, we adaptively select the most probable classifiers with large topic mixture coefficients for detection, which ensures that a sample is projected to only a few topic with top ranked  ... 
doi:10.5772/37716 fatcat:34ko6xuaqbbhldqnwxvpslrak4

Towards building large scale live media streaming framework for a U-city

Eun-Seok Ryu, Chuck Yoo
2007 Multimedia tools and applications  
The study focuses on overcoming the difficulties associated with developing middleware capable of processing and streaming multimedia data from a large number of cameras by expanding the traditional media  ...  The content of the study can be classified into two main categories: One is a camera array management technique that involves the middleware-level framework and protocol for managing the camera array.  ...  large-scale framework.  ... 
doi:10.1007/s11042-007-0166-z fatcat:n55kshjwgneezktalt6yyzf4xa

Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images

Yi Zhu, Xueqing Deng, Shawn Newsam
2019 IEEE transactions on multimedia  
We propose a novel framework to perform fine-grained land use mapping at the city scale using ground-level images.  ...  Individual images are classified using a novel convolutional neural network containing two streams, one for recognizing objects and another for recognizing scenes.  ...  Large-scale geotagged photo collections Computer vision and multimedia researchers have been leveraging large collections of geotagged photos for geographic discovery for around a decade.  ... 
doi:10.1109/tmm.2019.2891999 fatcat:dowpubfuevebtp45ixxlv226tu

Web-Scale Multimedia Information Networks

Guo-Jun Qi, Min-Hsuan Tsai, Shen-Fu Tsai, Liangliang Cao, Thomas S. Huang
2012 Proceedings of the IEEE  
| The abundance of multimedia data on the Web presents both challenges (how to annotate, search, and mine) and opportunities (crawling the Web to create large structured multimedia data bases which can  ...  web-scale resources together.  ...  When we want to process large-scale data, very little can be accomplished on a single machine. Google's MapReduce [21] is a popular paradigm for large-scale computations.  ... 
doi:10.1109/jproc.2012.2201909 fatcat:4hcia4agvbaija2kx5ynj2esse

Introduction to the Special Issue on MMAC: Multimodal Affective Computing of Large-Scale Multimedia Data

Sicheng Zhao, Min Xu, Qingming Huang, Bjorn W. Schuller
2021 IEEE Multimedia  
Affective computing of explicit and/or implicit large-scale multimedia data is rather challenging due to the following reasons.  ...  This Special Issue (SI) of IEEE MultiMedia aims to gather highquality and cutting-edge contributions reporting the most recent progress on multimodal affective computing of large-scale multimedia data.  ... 
doi:10.1109/mmul.2021.3088548 fatcat:netknrsgjvfmrdtrbxvx4crylu
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