'Visual word' diaporamas de présentation

Large-scale matching

Large-scale matching. CSE P 576 Larry Zitnick ( larryz@microsoft.com ). 20,000 images of Rome. ?. =. Large scale matching. How do we match millions or billions of images in under a second? Is it even possible to store the information necessary? 1 image (640x480 jpg) = 100 kb

344 views • 34 slides

Bag-of-features models

Bag-of-features models. Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba. Overview: Bag-of-features models. Origins and motivation Image representation Feature extraction Visual vocabularies Discriminative methods Nearest-neighbor classification Distance functions

470 views • 29 slides

Structuring Visual Words in 3D for Arbitrary-View Object Localization

Structuring Visual Words in 3D for Arbitrary-View Object Localization. Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, and Long Quan Department of Computer Science and Engineering The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong

379 views • 25 slides

Ken Chatfield James Philbin Andrew Zisserman

215 views • 21 slides

Generative learning methods for bags of features

310 views • 20 slides

Project 2 SIFT Matching by Hierarchical K -means Quantization

Project 2 SIFT Matching by Hierarchical K -means Quantization. 2014-4-21. Experiment Setting. Image database UKBench dataset: http://pan.baidu.com/s/1jGgFY6q 10200 images from 2550 categories Feature extraction SIFT feature The source code will be provided

180 views • 4 slides

Definition

Definition. Visual. Word. Real World Examples (from own life ). Sentence.

92 views • 1 slides