- a fast query-by-humming system using multi-dimensional feature vectors.
Hidenobu NagataNaoko KosugiRyoji KataokaTakashi HonishiPublished in: IWEC (2002)
Keyphrases
- multi dimensional
- feature vectors
- range queries
- multi dimensional data
- bitmap indices
- database
- query processing
- index structure
- response time
- query expansion
- euclidean distance
- feature space
- data cube
- vector space
- indexing techniques
- cost model
- rotation invariant
- query formulation
- user queries
- query evaluation
- face images
- relevance feedback
- support vector machine
- data structure
- keywords
- aggregate queries
- feature extraction
- multiple dimensions
- user interaction
- database queries
- complex queries
- image processing