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» Semantic segmentation using regions and parts
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ECCV
2000
Springer
14 years 9 months ago
Significantly Different Textures: A Computational Model of Pre-attentive Texture Segmentation
Abstract. Recent human vision research [1] suggests modelling preattentive texture segmentation by taking a set of feature samples from a local region on each side of a hypothesize...
Ruth Rosenholz
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
14 years 1 months ago
Ontology-Driven Semantic Video Analysis Using Visual Information Objects
In this paper, an ontology-driven approach for the semantic analysis of video is proposed. This approach builds on an ontology infrastructure and in particular a multimedia ontolog...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
ICIP
2009
IEEE
13 years 5 months ago
Semantic keyword extraction via adaptive text binarization of unstructured unsourced video
We propose a fully automatic method for summarizing and indexing unstructured presentation videos based on text extracted from the projected slides. We use changes of text in the ...
Michele Merler, John R. Kender
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
ICCV
2005
IEEE
14 years 1 months ago
Consistent Segmentation for Optical Flow Estimation
In this paper, we propose a method for jointly computing optical flow and segmenting video while accounting for mixed pixels (matting). Our method is based on statistical modelin...
C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang