11/04 speaker:

本週邀請到行品股份有限公司（Skywatch Innovation）共同創辦人陳維超 博士 / Dr. Wei-Chao Chen(北卡羅來納 大學/University of North Carolina at Chapel Hill)，前來進行中文演講。

陳維超 博士專長為電腦繪圖、視覺之研究開發，曾開發繪圖晶片如 PS3 RSX 及 NVIDIA Tesla 等，研發成果發表於各類學術期刊，亦取得多項國際專利，並獲各類國際媒體報導。

太陽花學運能引起全球關注，關鍵的一件事，就是利用網路直播，快速散佈議題、串聯群眾，但你可能不知道現場的攝影機從哪來？就是來自新創團隊Skywatch的產品！他們到現場架設攝影機，利用網路、雲端技術讓外界看到場域內外的真實狀況。Skywatch成立2年，主攻網路監控服務，兩位創辦人陳維超、楊吉評是大學同學，陳博士在美國東岸與矽谷共超過10年，從事研究工作，遊戲機、手機等產業都是他的研究範疇，因為「很想幫助台灣做些事」、「在人生這個階段，想得是創造產業價值」的念頭下，找上當時在台灣網路攝影機龍頭晶睿通訊（VIVOTEK）擔任高層的楊吉評，雙方毅然投入創業，而且楊吉評的前東家晶睿通訊也相當支持他的創業，更投資Skywatch約20%的股份。

機會難得，敬請踴躍出席。

簡歷如下：

Bio:

Wei-Chao Chen is a co-founder at Skywatch Innovation, a company that provides cloud- based video products and solutions. He is also an adjunct faculty member at the National Taiwan University. His research interests involve graphics hardware, computational photography, augmented reality, and user interfaces. Dr. Chen worked in Nokia Research Center at Palo Alto as a senior research scientist between 2007-2009, where he co- authored and co-developed papers, patents and applications related to mobile computer vision and computational photography. Prior to Nokia he was a 3D Graphics Architect in NVIDIA between 2002-2006 and was the shader architecture lead for several graphical processing units (GPUs), including the Sony Playstation 3 RSX GPU. While at Intel Corporation during 2000-2001, he was involved in the development of the OpenCV library, the Light Field Mapping technology, and the open source light field project (OpenLF).

Dr. Chen received his MS in Electrical Engineering from National Taiwan University (1996), and MS (2001) and PhD (2002) in Computer Science from the University of North Carolina at Chapel Hill.

講題與摘要如下：

Title:

Smarter Places: Challenges in Intelligent Video Surveillance and Sensor Networks

Abstract:

We live in an era of ubiquitous network-connected sensors. We instrument our places with cameras, sensors and switches to make buildings smarter, and places more responsive. But how do we strike a balance, between sufficient smartness to disburden the users, and too much intelligence such that human have to relinquish control?

In this talk we discuss the status and challenges in the general field of video surveillance, and our current progress toward answering these questions at Skywatch. These include technologies and services to enable reliable capture of both video and sensor data, and algorithms for extracting sensible information from these data. We will also provide a hint about future directions we are moving toward to.