Trace Transform Based Method for Color Image Domain Identification

• Published in: IEEE transactions on multimedia Vol. 16; no. 3; pp. 679 - 685
• Main Authors: Olaizola, Igor G., Quartulli, Marco, Florez, Julian, Sierra, Basilio
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.04.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Artificial intelligence; CBIR; Classification; Color; Computer science; control theory; systems; Context; Data processing. List processing. Character string processing; Discrete cosine transforms; Distortion; Exact sciences and technology; Feature extraction; Image color analysis; image domain identification; Image resolution; Memory organisation. Data processing; Multimedia; pattern recognition; Pattern recognition. Digital image processing. Computational geometry; Representations; Sampling; Semantics; Software; trace transform; Transforms; Multimedia; Statistical analysis; Image processing; image domain identification; Discrete transformation; Pattern recognition; Context aware; Color image; Dimension reduction; Classification; CBIR; Selection criterion; Feature extraction; Content-based retrieval; Sampling; Categorization; Pattern extraction; trace transform; Content analysis

Context categorization is a fundamental pre-requisite for multi-domain multimedia content analysis applications. Most feature extraction methods require prior knowledge to decide if they are suitable for a specific domain and to optimize their input parameters. In this paper, we introduce a new colo...