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MTA
2000
165views more  MTA 2000»
14 years 9 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
91
Voted
MM
2009
ACM
269views Multimedia» more  MM 2009»
15 years 4 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
SAC
2003
ACM
15 years 2 months ago
Improving Image Retrieval Effectiveness in Query-by-Example Environment
Query-by-example is the most popular query model for today’s image retrieval systems. A typical query image contains not only relevant objects (e.g., Eiffel Tower), but also ir...
Khanh Vu, Kien A. Hua, Ning Jiang
HLK
2003
IEEE
15 years 2 months ago
Pose-Based Clustering in Action Sequences
A method is presented for automatically extracting key frames from an image sequence. The sequence is divided into clusters of frames with similar appearance, and the most central...
Gareth Loy, Josephine Sullivan, Stefan Carlsson
JIIS
2002
141views more  JIIS 2002»
14 years 9 months ago
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...