18342017. TEXT-BASED IMAGE ANOMALY DETECTION (International Business Machines Corporation)
TEXT-BASED IMAGE ANOMALY DETECTION
Organization Name
International Business Machines Corporation
Inventor(s)
Assaf Arbelle of Lehvot Haviva (IL)
Eliyahu Schwartz of Haifa (IL)
TEXT-BASED IMAGE ANOMALY DETECTION
This abstract first appeared for US patent application 18342017 titled 'TEXT-BASED IMAGE ANOMALY DETECTION
Original Abstract Submitted
Method and apparatus for image processing. A plurality of positive text exemplars is processed to generate a set of normal features using a trained model. A plurality of negative text exemplars is processed to generate a set of anomaly features using the trained model. A query image depicting an object is received. A query image feature for the query image is generated using the trained model. An anomaly score for the query image is generated based at least in part on determining one or more distances between the query image feature and one or more normal features of the set of normal features, and determining one or more distances between the query image feature and one or more anomaly features of the set of anomaly features.