Multimedia is increasingly becoming the "biggest big data" as the most important and valuable source for insights and information. Researches in our lab cover a broad range of topics on multimedia Ecosystem include capturing, producing, delivering, discovering and experience. Currently, we are working on video enhancement algorithms like de-shaking video captured from smart phone or wearable camera, HD@25p@H.264 to 4K@50p@HEVC super video transcoding; we are working on soft-defined, parallel and distributed computing, low-latency HEVC encoding solution for UHD and VR video like 4K@60p,8K@120p and are exploring novel techniques for future video coding standard; we are working on biologically-driven machine learning tools and system to obtain the knowledge from massive media data.
2016.09 Recent works have been accepted by ICIP, ACCV, VCIP,APISIPA, and PCS (More...)
2016.09 Our papers behind (i4K) was presented at GTC'16, BMSB'16 and IBC'16 (More...)
2016.05 The SJTU 4K subjective dataset is released for content based ABR prediction (More...)
Our media technology blog is online. http://medialab.sjtu.edu.cn/maas-blog
Our Big Data site is online. http://smartbdn.sjtu.edu.cn/
Our Spark site is online. http://spark.sjtu.edu.cn/