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Multimedia data has become a major data type in the Big Data era. The explosive volume of such data and the increasing real-time requirement to retrieve useful information from it have put significant pressure in processing such data in a timely fashion. However, while prior efforts have done in-depth analysis on architectural characteristics of traditional multimedia processing and text-based retrieval...
Multimedia data, especially image and video data, have become one of the most overwhelming data types on the Internet recently. Considering the user experience and real application requirements, multimedia data always demand a real-time processing speed. As a result, the huge amount of such data make retrieving useful information from them not only data-intensive, but also computation-intensive, which...
Currently, multimedia data has become one of the major data types processed and transferred on the Internet. With the rapid growth of multimedia data, it is vitally important to find an efficient way to extract useful information from a large amount of data. SIFT and SURF, as the most popular multimedia feature extraction algorithms, have been widely used in many applications. However, the limited...
The prevalence of the Internet and cloud computing has made multimedia data, such as image data and video data, become major data types in our daily life. For example, many data-intensive applications, such as health care and video recommendation, involve collecting, indexing and retrieving tera-scale multimedia data every day. With such a huge amount of multimedia data to process, the processing...
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