9 Papers
145 Citations
Jia Hao is an academic researcher from National University of Singapore. The author has contributed to research in topics: Computer science & Visual sensor network. The author has an hindex of 7, co-authored 8 publications.
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Papers
Patent
Apparatus, system, and method for annotation of media files with sensor data
Roger Zimmermann,Seon Ho Kim,Sakire Arslan Ay,Beomjoo Seo,Zhijie Shen,Guanfeng Wang,Jia Hao,Ying Zhang +7 more
- 21 Feb 2012
TL;DR: In this paper, the authors propose a method for multimedia annotation with sensor data (referred to herein as sensor-rich video) which includes acquisition, management, storage, indexing, transmission, search, and display of video, images, or sound, that has been recorded in conjunction with additional sensor information (such as, but not limited to, global positioning system information (latitude, longitude, altitude), compass directions, WiFi fingerprints, ambient lighting conditions, etc.).
92
Integrated prefetching and caching for adaptive video streaming over HTTP: an online approach
Ke Liang,Jia Hao,Roger Zimmermann,David K. Y. Yau +3 more
- 18 Mar 2015
TL;DR: An integrated prefetching and caching proxy for HTTP-based adaptive video streaming services like Netflix and YouTube, termed iPac, is presented, which can significantly improve the performance in terms of byte-hit ratio and video rates compared with the state-of-the-art approaches.
Energy-efficient mobile video management using smartphones
Jia Hao,Seon Ho Kim,Sakire Arslan Ay,Roger Zimmermann +3 more
- 23 Feb 2011
TL;DR: A design framework that brings together several key ideas to enable energy-efficient mobile video management applications and substantially prolongs the battery life of mobile devices while only slightly increasing the search latency is presented.
Point of Interest Detection and Visual Distance Estimation for Sensor-Rich Video
TL;DR: This work proposes a novel technique that leverages sensor-generated meta-data (camera locations and viewing directions) which are automatically acquired as continuous streams together with the video frames which is able to detect interesting regions and objects and their distances from the camera positions in a fully automated way.
15
Keyframe presentation for browsing of user-generated videos on map interfaces
Jia Hao,Guanfeng Wang,Beomjoo Seo,Roger Zimmermann +3 more
- 28 Nov 2011
TL;DR: This work considers the challenge of determining which keyframes to select and where to place them on the map, and leverages sensor-collected meta-data which are automatically acquired as a continuous stream together with the video.