Content -based similarity retrieval system for image data
AssigneeIndustrial Technology Research Institute
InventorsJiann-Jone Chen, Chen-Chin Chiang
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Abstract
An image retrieval system for retrieving image similarities from a database is proposed. The image retrieval system uses a universal query mechanism (UQM) to locate statistically silent common features among sample query images from different feature sets. The UQM also adjusts the weight factor for each feature to meet a user's query demand.
Claims20
A content-based retrieval method for retrieving one or more images from a multimedia database, the retrieval method comprising the steps of:
- constructing a sample query image;
- extracting a salient and common feature vector from said sample query image;
- generating an adjusted weight factor based on said salient and common feature vector;
- generating a new feature vector based on said adjusted weight factor;
- and
- generating a new query image based on said new feature vector.
A content-based retrieval method for retrieving one or more images from a multimedia database, the retrieval method comprising the steps of:
- inputting one or more initial query images by a user;
- extracting feature vectors for said initial query images based on one or more requirements of said user;
- extracting salient and common features based on said feature vectors;
- generating adjusted weight factors based on said salient and common features;
- generating new feature vectors based on said adjusted weight factors;
- and
- generating new query images based on said new feature vectors.
A content-based retrieval method for retrieving one or more images from a multimedia database, the retrieval method comprising the steps of:
- selecting one or more initial query images from said database;
- retrieving corresponding feature vectors for said initial query images;
- extracting salient and common features based on said feature vectors;
- generating new weighting factors based on said salient and common features;
- generating new feature vectors based on said new weighting factors;
- and
- generating new query images based on said new feature vectors.
A content-based retrieval apparatus for retrieving one or more images from a multimedia database, comprising:
- a multimedia database for storing sample query images;
- one or more feature extraction unit for extracting salient and common feature vectors from said sample query images;
- one or more feature databases for storing said salient and common feature vectors;
- and
- one or more universal query units for generating adjusted weight factors based on said salient and common feature vectors, generating new feature vectors based on said adjusted weight factors, and generating new query images based on said new feature vectors.
Dependencies are inferred from the claim text.