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Bringing Deep Causality to Multimedia Data Streams
Proceedings of the 23rd ACM international conference on Multimedia, 2015We live in a data abundance era. Availability of large volume of diverse multimedia data streams (ranging from video, to tweets, to activity, and to PM2.5) can now be used to solve many critical societal problems. Causal modeling across multimedia data streams is essential to reap the potential of this data.
Laleh Jalali, Ramesh C. Jain
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Detecting Events in Streaming Multimedia with Big Data Techniques
2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 2016The massive amount of multimedia information currently available through the Internet demands efficient techniques to extract knowledge from Big Data. In this work, we propose an architecture to capture, process, analyse and visualize data coming from multiple streaming multimedia TV stations and radio stations.
Jose Herrera, Germán Moltó
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Traffic forecaster for MPLS multimedia data streams
SPIE Proceedings, 2006Contemporary high performance data networks carry a wide range of multimedia services (voice, video, audio, text, sensor data, etc.) that require an outstanding Quality of Service (QoS) to provide performance guarantees in priority delivery, latency, bandwidth utilization, load balancing, etc.
Barry Ambrose, Freddie Lin
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DAF: An adaptive computing framework for multimedia data streams analysis
Intelligent Data Analysis, 2020We consider the problem of efficiently online computing/filtering or analysis multimedia streams. In this scenario, we register a large scale of continuous analysis queries to filter pornographic stream items. Each query is a conjunction of filters.
Jun Li 0076 +4 more
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Synchronization of multimedia data streams in open distributed environments
1992This paper presents a study of synchronization mechanisms for real-time video, audio and text data streams. Synchronization is an important and complex issue when multimedia information, stored at geographically distributed locations, has to be transported to an end-system for presentation via various communication channels.
Peter Leydekkers, Bertjan Teunissen
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Research on Multimedia Data Stream in Network
2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications, 2013Currently, computer technology has been widely used in the teaching of higher mathematics, which lead to a revolutionary change to the traditional teaching theory, method, means and structure and has played a positive to promote the effect of higher mathematics teaching.
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Network support for dynamically scaled multimedia data streams
1994As multi-media applications such as video-on-demand and video conferencing become more common, the classes of systems and networks participating in these applications are becoming more diverse. Where several endpoints need to access the same video stream simultaneously, multicast protocols are often employed to reduce the duplication of network traffic
Don Hoffman +2 more
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Transmitting streaming data in wireless multimedia sensor networks with holes
Proceedings of the 6th international conference on Mobile and ubiquitous multimedia, 2007Within the vision of ubiquitous multimedia, using multimedia sensor nodes, such as audio, image, and video sensor nodes, in wireless sensor networks can dramatically enhance the capability of sensor networks for event description. Different kinds of holes can easily appear in sensor networks. For example, tens of sensor nodes can consist of a hole in a
Lei Shu 0001 +5 more
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A Hierarchy Description Framework for Multimedia Documents in the Data Stream Environments
2005 Systems Communications (ICW'05, ICHSN'05, ICMCS'05, SENET'05), 2005MPEG-7 and data steam are both the recent hot research fields in the multimedia retrieval and DBMS. MPEG-7 is designed to standardize the description of multimedia content in order to support a wide range of applications. Although MPEG-7 standard proposes rich description schema (DS) for image, video, multimedia, home media, and archive content, there ...
Yu Sun 0008, Qian Zhang 0060, Xia Zhang
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Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98, 1998
DIVA supports exploratory data analysis of multimedia streams, enabling users to visualize, explore and evaluate patterns in data that change over time. The underlying stream algebra provides the mathematical basis for operating on diverse kinds of streams.
Wendy E. Mackay, Michel Beaudouin-Lafon
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DIVA supports exploratory data analysis of multimedia streams, enabling users to visualize, explore and evaluate patterns in data that change over time. The underlying stream algebra provides the mathematical basis for operating on diverse kinds of streams.
Wendy E. Mackay, Michel Beaudouin-Lafon
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