Exploiting text-related features for content-based image retrieval

Proceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011

Volumn , Issue , 2011, Pages 77-84

  Schroth, G ^a   Hilsenbeck, S ^a   Huitl, R ^a   Schweiger, F ^a   Steinbach, E ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

CBIR; text related visual features; visual location recognition

Indexed keywords

APPROXIMATE STRING MATCHING; CBIR; CONTENT BASED IMAGE RETRIEVAL; DATA SETS; DISTINCTIVE FEATURES; DYNAMIC OBJECTS; ERROR PRONES; EXPERIMENTAL EVALUATION; FEATURE DESCRIPTORS; INDOOR ENVIRONMENT; INVERTED FILES; LARGE DATASETS; MOBILE IMAGES; N-GRAMS; ORDERS OF MAGNITUDE; ORIENTATION AND NAVIGATION; RETRIEVAL APPLICATIONS; RETRIEVAL PERFORMANCE; VISUAL CUES; VISUAL FEATURE; VISUAL LOCATION; VISUAL PHRASE; VISUAL WORD;

COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; OPTICAL CHARACTER RECOGNITION;

IMAGE RETRIEVAL;

EID: 84856326840     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISM.2011.21     Document Type: Conference Paper

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