Web-Scale Image Annotation

نویسندگان

  • Jiakai Liu
  • Rong Hu
  • Meihong Wang
  • Yi Wang
  • Edward Y. Chang
چکیده

In this paper, we describe our experiments using Latent Dirichlet Allocation (LDA) to model images containing both perceptual features and words. To build a large-scale image tagging system, we distribute the computation of LDA parameters using MapReduce. Empirical study shows that our scalable LDA supports image annotation both effectively and efficiently.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automatic Web Image Annotation via Web-Scale Image Semantic Space Learning

The correlation between keywords has been exploited to improve Automatic Image Annotation(AIA). Differing from the traditional lexicon or training data based keyword correlation estimation, we propose using Web-scale image semantic space learning to explore the keyword correlation for automatic Web image annotation. Specifically, we use the Social Media Web site: Flickr as Web scale image seman...

متن کامل

A k-NN Approach for Scalable Image Annotation Using General Web Data

This paper presents a simple k-NN based image annotation method that relies only on automatically gathered Web data. It can easily change or scale the list of concepts for annotation, without requiring labeled training samples for the new concepts. In terms of MAP the performance is better than the results from the ImageCLEF 2012 Scalable Web Image Annotation Task on the same dataset. Although,...

متن کامل

Fuzzy Neighbor Voting for Automatic Image Annotation

With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...

متن کامل

Tags Re-ranking Using Multi-level Features in Automatic Image Annotation

Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among the challenges available in this field have a negative effect on the query's result. In this paper, a new method is presented for automatic image...

متن کامل

Heuristic Label Set Relevance Learning for Image Annotation

Automatic annotation can automatically annotate images with semantic labels to significantly facilitate image retrieval and organization. Traditional web image annotation methods often estimate specific label relevance to image, and neglect the relevance of the assigned label set as a whole. In this paper, A novel image annotation method by heuristic relevance learning is proposed. Label releva...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008