With the fast development and wide usage of digital devices, more and more people like to record their daily lives as videos and share them on websites such as YouTube, Yahoo Video, and Youku, to name a few. To get a better understanding of such video data and discover useful knowledge from them, effective and automatic multimedia semantic analysis becomes crucial. However, a manual analysis of multimedia data can be very expensive or simply not feasible when the time is limited or when the amount of data is enormous. Hence, the multimedia research community faces a major challenge: how to effectively and efficiently organize these videos. Data mining techniques have been successfully utilized to provide solutions to such a challenge. An example is video concept classification, which has been an attractive research focus in the past 10 years (Chen et al., 2006a; Shyu et al., 2008).
|Original language||English (US)|
|Title of host publication||Multimedia Security|
|Subtitle of host publication||Watermarking, Steganography, and Forensics|
|Number of pages||19|
|State||Published - Jan 1 2017|
ASJC Scopus subject areas
- Computer Science(all)