IEEE MultiMedia | 2019

Pushing the Boundary of Multimedia Big Data: An Overview of IEEE MIPR

 
 
 
 
 
 

Abstract


New forms of multimedia data (such as text, numbers, tags, networking, signals, geo-tagged information, graphs/relationships, three-dimensional/VR/AR and sensor data, etc.) have emerged in many applications in addition to traditional multimedia data (image, video, audio). Multimedia has become the biggest of big data as the foundation of today s data-driven discoveries. Almost all disciplines of science and engineering, as well as social sciences, involve multimedia data in some forms, such as recording experiments, driverless cars, unmanned aerial vehicles, smart communities, biomedical instruments, security surveillance. Some recent events demonstrate the power of real-time broadcast of unfolding events on social networks. Multimedia data is not just big in volume, but also multi-modal and mostly unstructured. Storing, indexing, searching, integrating, and recognizing from the vast amounts of data create unprecedented challenges. Even though significant progress has been made processing multimedia data, today s solutions are inadequate in handling data from millions of sources simultaneously. The IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR) aims to provide a forum for original research contributions and practical system design, implementation, and applications of multimedia information processing and retrieval for single modality or multiple modalities. The target audiences are university researchers, scientists, industry practitioners, software engineers, and graduate students who want to become acquainted with technologies for big data analytics, machine intelligence, information fusion in multimedia information processing and retrieval. Following a successful debut in Miami, Florida in 2018, the second MIPR, held in San Jose, California, attracted over 140 submissions and more than 100 attendees—a big growth from its inaugural event and an indication of its growing visibility and popularity in the multimedia research society. In addition to four keynote talks, MIPR 19 also featured six innovation multimedia forums organized by both academic and industrial researchers, with topics ranging from computer vision, self-driving, Natural Language Processing, next generation video display, to cutting edge video/audio coding techniques.

Volume 26
Pages 87-91
DOI 10.1109/MMUL.2019.2916957
Language English
Journal IEEE MultiMedia

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