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One of the important issues in designing a good distributed storage system is how to store multimedia data on many storage nodes.
With the ever-increasing amount of multimedia data on the web, hashing-based approximate nearest neighbor search methods have attracted significant attention due to its remarkable efficiency gains and storage reductions.
Fig. 6 Invulnerability impact of cloud and multimedia data on WMSNs.
With the rapid evolution of digital media, services such as social networks, web-based multimedia archives, and search engines are becoming increasingly popular, and consequently, the amount of multimedia data on the Internet is escalating exponentially.
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Cross-media retrieval focuses on searching multimedia data of different modalities with content-based methods.
Because each type of multimedia signals has its specific nature that may significantly differ from others, the applicability and method of time-frequency analysis depend on the multimedia data to be processed.
The transmission of multimedia data depends on a routing protocol to determine stable and resource-efficient path, and to provide varying levels of Quality-of-Service (QoS /Quality-of-Experience (QoE) guarantee for multimedia.
People cannot only deliver but access multimedia data anywhere on the Internet in a short time.
The influence of multimedia data content on the correlation between the time and frequency domain was reflected by the distortion ratio.
This trend highlights the need for the efficient creation of distributed programs with multimedia data exchanges running on distributed processing environments.
Currently, there are evidences that MUs' downloading of on-demand multimedia data is the major reason for the data avalanche over F-RAN; numerous repetitive requests on the same data lead to redundant transmissions.
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