A low latency hierarchical storage organization for multimedia data retrieval

1998 ◽  
pp. 181-194 ◽  
Author(s):  
Philip K. C. Tse ◽  
Clement H. C. Leung
Keyword(s):  
Data Retrieval ◽  
Multimedia Data ◽  
Low Latency ◽  
Hierarchical Storage

Metric Databases

2005 ◽  
pp. 367-372 ◽  
Author(s):  
Edgar Chávez ◽  
Gonzalo Navarro
Keyword(s):  
Metric Space ◽  
Data Retrieval ◽  
Digital Age ◽  
Query Languages ◽  
Multimedia Data ◽  
Space Model ◽  
Search For Information ◽  
Metric Databases

The advent of the digital age creates an increasing interest to search for information in large, unstructured repositories containing textual and multimedia data. Retrieval from those repositories requires more powerful query languages, which exceed the querying capabilities of traditional database technologies. The metric space model, described herein, is an extension of the exact searching paradigm aiming to cope with the new requirements.

AN FPGA-BASED PLATFORM FOR A NETWORK ARCHITECTURE WITH DELAY GUARANTEE

2013 ◽  
Vol 22 (06) ◽  
pp. 1350045 ◽  
Author(s):  
MACIEJ WIELGOSZ ◽  
MAURITZ PANGGABEAN ◽  
JIANG WANG ◽  
LEIF ARNE RØNNINGEN
Keyword(s):  
Network Architecture ◽  
Multimedia Data ◽  
Low Latency ◽  
Traffic Condition ◽  
Network Nodes ◽  
Delay Guarantee ◽  
Design And Implementation ◽  
Platform Architecture ◽  
Delay Sensitive ◽  
Field Programmable

The background that underlies this work is the envisioned real-time tele-immersive collaboration system for the future that supports delay-sensitive applications involving participants from remote places via their collaboration spaces (CSs). The end-to-end delay as high as 20 ms is required for good synchronization of such applications, for example collaborative dancing and remote conducting of choir. It is much lower than that facilitated by existing teleconference systems. A novel network architecture with delay guarantee, namely Distributed Multimedia Plays (DMP), has been proposed and designed to realize the vision. The maximum low latency is guaranteed because DMP network nodes can drop DMP packets of multimedia data from the CSs due to instantaneous traffic condition. Besides ultrafast processing time, modularity, and scalability must be taken into account in hardware design and implementation of the nodes for seamless incorporation of the modules. These lead us to employing field-programmable gate array (FPGA) due to its substantial computational power and flexibility. This paper presents an FPGA-based platform for the design and implementation of DMP network nodes. It provides a detailed introduction to the platform architecture and the simulation-implementation environment for the design. The modularity of the implemented node is shown by addressing three important modules for packet dropping, 3D warping, and image transform. Our compact implementation of the network node on Xilinx Virtex-6 ML605 mostly consumes very small amount of available resources. Moreover the elementary operations on our implementation takes (much) less than 5 μs as desired to meet the low-latency requirement.

Quality biased multimedia data retrieval in microblogs

2016 ◽  
Vol 40 ◽  
pp. 838-846 ◽  
Author(s):  
Shuhan Qi ◽  
Peiguang Jing ◽  
Xuan Wang ◽  
Liqiang Nie
Keyword(s):  
Data Retrieval ◽  
Multimedia Data

Content-based multimedia data retrieval on cluster system environment

1999 ◽  
pp. 1235-1241 ◽  
Author(s):  
Sanan Srakaew ◽  
Nikitas Alexandridis ◽  
Punpiti Piamsa-nga ◽  
George Blankenship
Keyword(s):  
Data Retrieval ◽  
Cluster System ◽  
Multimedia Data ◽  
System Environment

A Deep Learning Solution for Multimedia Conference System Assisted by Cloud Computing

2018 ◽  
Vol 13 (3) ◽  
pp. 85-98
Author(s):  
Wei Zhang ◽  
Huiling Shi ◽  
Xinming Lu ◽  
Longquan Zhou
Keyword(s):  
Cloud Computing ◽  
Deep Learning ◽  
Data Distribution ◽  
Transmission Efficiency ◽  
Multimedia Data ◽  
Low Latency ◽  
Bandwidth Optimization ◽  
Multimedia Conference System ◽  
Multimedia Conference ◽  
Conference System

With the development of information technology, more and more people use multimedia conference system to communicate or work across regions. In this article, an ultra-reliable and low-latency solution based on Deep Learning and assisted by Cloud Computing for multimedia conference system, called UCCMCS, is designed and implemented. In UCCMCS, there are two-tiers in its data distribution structure which combines the advantages of cloud computing. And according to the requirements of ultra-reliability and low-latency, a bandwidth optimization model is proposed to improve the transmission efficiency of multimedia data so as to reduce the delay of the system. In order to improve the reliability of data distribution, the help of cloud computing node is used to carry out the retransmission of lost data. the experimental results show UCCMCS could improve the reliability and reduce the latency of the multimedia data distribution in multimedia conference system.

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