@inproceedings{e3a66fed4bc6493a8e89205328611997,
title = "Query modeling for click data based image recognition using graph based propagation and sparse coding",
abstract = "We address the fine-grained image recognition problem using user click data, wherein each image is represented as a semantical query-click feature vector. Usually, the query set obtained from search engines is large-scale and redundant. We propose a novel query modeling approach to merge semantically similar queries and construct a compact click feature. We represent each query as a click feature, and design a graph based propagation approach to predict the zero-clicks, ensuring similar images have similar clicks. Afterwards, using this feature, we formulate the problem as a sparse coding based recognition task, wherein the dictionary is discriminatively trained. We evaluate our method for fine-grained image recognition on the public Clickture-Dog dataset. It is shown that, the propagated click feature performs much better than the original one. Also, sparse coding performs better than K-means in query merging.",
keywords = "Click feature, Graph based model, Image recognition, Query modeling, Sparse coding",
author = "Weichen Wu and Min Tan and Guangjian Zheng and Jun Yu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 9th International Conference on Internet Multimedia Computing and Service, ICIMCS 2017 ; Conference date: 23-08-2017 Through 25-08-2017",
year = "2018",
doi = "10.1007/978-981-10-8530-7\_19",
language = "英语",
isbn = "9789811085291",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "191--199",
editor = "Benoit Huet and Liqiang Nie and Richang Hong",
booktitle = "Internet Multimedia Computing and Service - 9th International Conference, ICIMCS 2017, Revised Selected Papers",
address = "德国",
}