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» WALRUS: A Similarity Retrieval Algorithm for Image Databases
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ESWA
2008
127views more  ESWA 2008»
15 years 3 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
145
Voted
AINA
2007
IEEE
15 years 10 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue
136
Voted
ICIP
2007
IEEE
16 years 5 months ago
A New Descriptor for 2D Depth Image Indexing and 3D Model Retrieval
We present here a new descriptor for depth images adapted to 2D/3D model matching and retrieving. We propose a representation of a 3D model by 20 depth images rendered from the ve...
Mohamed Chaouch, Anne Verroust-Blondet
147
Voted
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 9 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
138
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Query by tapping system based on alignment algorithm
Query-by-tapping systems are content-based music retrieval systems that allow users to tap or clap in a microphone the rhythmic pattern of the melody requested. In this paper, a n...
Pierre Hanna, Matthias Robine