Weather-adaptive distance metric for landmark image classification

Ding Shiuan Ding, Wei Ta Chu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visual appearance of landmark photos changes significantly in different weather conditions. In this work, we obtain weather information from a weather forecast website based on a landmark photo’s geotag and taken time information. With weather information, we adaptively adjust weightings for combining distances obtained based on different features and thus propose a weather-adaptive distance measure for landmark photo classification. We verify the effectiveness of this idea, and accomplish one of the early attempts to develop a landmark photo classification system that resists to weather changes.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings
EditorsYo-Sung Ho, Yong Man Ro, Junmo Kim, Fei Wu, Jitao Sang
PublisherSpringer Verlag
Pages139-148
Number of pages10
ISBN (Print)9783319240770
DOIs
Publication statusPublished - 2015 Jan 1
Event16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of
Duration: 2015 Sep 162015 Sep 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9315
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th Pacific-Rim Conference on Multimedia, PCM 2015
CountryKorea, Republic of
CityGwangju
Period15-09-1615-09-18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Weather-adaptive distance metric for landmark image classification'. Together they form a unique fingerprint.

Cite this