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This interface provides access to content based image retrieval services. Queries can be issued by means of example images or feature vectors.
The return type of the principal methods is a list of
picture entries
. These entries
provide information on the similarity of the returned
images to the query as well as where the corresponding
image can be retrieved.
Method Summary | |
PictureEntry[] |
find(FeatureVector v,
float threshold,
int max)
Matches the given feature vector against the ones of the known Pictures and returns the picture entries of at most max pictures that have a
normalised distance less than the given threshold to
the query vector. |
PictureEntry[] |
find(Image im,
float threshold,
int max)
Matches the given image against the stored images and returnes the entries of the max most
similar pictures known. |
Method Detail |
public PictureEntry[] find(Image im, float threshold, int max) throws IOException
max
most
similar pictures known. All returned picture entries
represent pictures that have a distance from the query
picture that is less than the given threshold. The
threshold is normalised in the range [0.0,1.0] where 0
denotes identity (of feature vectors) and 1 denotes
infinite distance.
im
- The query image.threshold
- The maximum distance retrieved pictures
are allowed to have from the query image.max
- The maximum number of hits to return.
IOException
public PictureEntry[] find(FeatureVector v, float threshold, int max) throws IOException
max
pictures that have a
normalised distance less than the given threshold to
the query vector. If the feature vector is not of a
supported type then an exception is thrown.
v
- The feature vector to match known picture
entries against.threshold
- The maximum distance a picture in
the result set is allowed to have from the query
vector.
UnsupportedAlgorithmException
- if the given
feature vector cannot be mapped to the supported
ones.
IOException
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