Object Recognition and Image Tagging
with SIFT features
Versandkostenfrei!
Versandfertig in 6-10 Tagen
32,99 €
inkl. MwSt.
PAYBACK Punkte
16 °P sammeln!
Whereas textual data retrieval history dates back to the beginning of library systems, multimedia information retrieval is relatively a new idea. Image retrieval research started with the form of Content Based Image Retrieval(CBIR); however, the progress encountered a bottleneck due to the semantic gap between visual features and conceptual semantics. The research question is: How can a machine semantically describe a picture? Answering this question might be a major breakthrough in image retrieval research. The basic areas of Computer Vision research that correlate image semantics are object ...
Whereas textual data retrieval history dates back to the beginning of library systems, multimedia information retrieval is relatively a new idea. Image retrieval research started with the form of Content Based Image Retrieval(CBIR); however, the progress encountered a bottleneck due to the semantic gap between visual features and conceptual semantics. The research question is: How can a machine semantically describe a picture? Answering this question might be a major breakthrough in image retrieval research. The basic areas of Computer Vision research that correlate image semantics are object recognition and object categorization. Both these fields require a general solution for detecting arbitrary objects, and automatic image annotation task requires a generalized object recognition framework and a methodology for annotation generation. The goal of this research is to use aspects of object recognition technologies for automatic automatic image annotation.
Andere Kunden interessierten sich für
