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» Combining Textual and Visual Features for Image Retrieval
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CVDB
2004
ACM
15 years 3 months ago
The PIBE Personalizable Image Browsing Engine
In this paper we describe PIBE, a new Personalizable Image Browsing Engine that allows an effective visual exploration of large image collections combining computer vision and da...
Ilaria Bartolini, Paolo Ciaccia, Marco Patella
PCM
2001
Springer
145views Multimedia» more  PCM 2001»
15 years 2 months ago
Color Content Matching of MPEG-4 Video Objects
Abstract. Color histogram is one of the most widely used visual feature representations in content-based retrieval. When processing the image/video data in the JPEG/MPEG compressed...
Berna Erol, Faouzi Kossentini
ICCV
2011
IEEE
13 years 9 months ago
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
In recent years, depth cameras have become a widely available sensor type that captures depth images at realtime frame rates. Even though recent approaches have shown that 3D pose...
Andreas Baak, Meinard Muller, Gaurav Bharaj, Hans-...
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CVPR
2007
IEEE
15 years 11 months ago
Kinematics from Lines in a Single Rolling Shutter Image
Recent work shows that recovering pose and velocity from a single view of a moving rigid object is possible with a rolling shutter camera, based on feature point correspondences. ...
Omar Ait-Aider, Adrien Bartoli, Nicolas Andreff
KAIS
2006
172views more  KAIS 2006»
14 years 9 months ago
CoMMA: a framework for integrated multimedia mining using multi-relational associations
Generating captions or annotations automatically for still images is a challenging task. Traditionally, techniques involving higher-level (semantic) object detection and complex f...
Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodi...