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» Spatial And Temporal Up-conversion Technique For Depth Video
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CGF
2008
201views more  CGF 2008»
13 years 7 months ago
Fluid in Video: Augmenting Real Video with Simulated Fluids
We present a technique for coupling simulated fluid phenomena that interact with real dynamic scenes captured as a binocular video sequence. We first process the binocular video s...
Vivek Kwatra, Philippos Mordohai, Rahul Narain, Sa...
ICIP
2004
IEEE
14 years 9 months ago
Fast video shot retrieval by trace geometry matching in principal component space
Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, in different scales, across different platf...
Zhu Li, Aggelos K. Katsaggelos, Bhavan Gandhi
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
ADVIS
2006
Springer
14 years 1 months ago
Structural and Event Based Multimodal Video Data Modeling
Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos. By recording videos about real world entities, we carry...
Hakan Öztarak, Adnan Yazici
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
13 years 12 months ago
Structural and Semantic Analysis of Video
In this paper we discuss our recent research and open issues in structural and semantic analysis of digital videos. Specifically, we focus on segmentation, summarization and class...
Shih-Fu Chang, Hari Sundaram