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ECCV
2010
Springer
13 years 8 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang
MTA
2000
165views more  MTA 2000»
13 years 7 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
ICASSP
2008
IEEE
14 years 2 months ago
Caption-aided speech detection in videos
This paper presents a novel audio-visual fusion method for speech detection, which is an important front-end for content-based video processing. This approach aims to extract homo...
Cong Li, Zhijian Ou, Wei Hu, Tao Wang, Yimin Zhang
VIP
2003
13 years 9 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
MIR
2004
ACM
154views Multimedia» more  MIR 2004»
14 years 1 months ago
Fast and robust short video clip search using an index structure
In this paper, we present an index structure-based method to fast and robustly search short video clips in large video collections. First we temporally segment a given long video ...
Junsong Yuan, Ling-Yu Duan, Qi Tian, Changsheng Xu