Results For Image Retrieval. US8856108B2 US12210540 US21054008A US8856108B2 US 8856108 B2 US8856108 B2 US 8856108B2 US 21054008 A US21054008 A US 21054008A US 8856108 B2 US8856108 B2 US 8856108B2 Authority US United States Prior art keywords recognition. Content-based image retrieval is opposed to traditional concept-based approaches.
This paper introduces a plug-and-play descriptor that can be effectively adopted for image retrieval tasks without prior initialization or preparation. In image retrieval tasks the use of Handcrafted global and local descriptors has been very. US8856108B2 US12210540 US21054008A US8856108B2 US 8856108 B2 US8856108 B2 US 8856108B2 US 21054008 A US21054008 A US 21054008A US 8856108 B2 US8856108 B2 US 8856108B2 Authority US United States Prior art keywords recognition.
Category-level retrieval and instance-level retrieval.
1 End-to-end Learning of Deep Visual Representations for Image Retrieval Albert Gordo Jon Almazan Jerome Revaud Diane Larlus IJCV 2017 2 Learning with Average Precision. In this research CBIR will be discussed based on color shape and texture using a color histog ram Gabor and SIFT. 1 the system retrieves relevant images and then 2 re-ranks the results. Namely Image Retrieval based on content or commonly called Content Based Image Retrieval CBIR.