What catches your eyes as you move around? On the discovery of interesting regions in the street

Heng Yu Chi*, Wen-Huang Cheng, Chuang Wen You, Ming Syan Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Interesting regions are defined as parts of street view scenes that can attract people’s interests when they are moving on the road, and play an important role in various daily-life scenarios. In this paper, therefore, we propose a framework for locating interesting regions in the street and explore the potential use for advanced multimedia applications. Based on the psychological findings and cognitive processes, we proposed and quantified three properties for modeling interesting regions, including attractive, unique, and familiar. Also, a spatial-temporal fusion scheme is developed to combine the multiple properties for discovering the presence of interesting regions. We conduct a set of user studies to demonstrate the effectiveness of our approach. The results support that most users agreed with the interesting regions found by the proposed approach. Finally, a novel application based on interesting regions is also presented for offering an improved navigation experience to vehicle drivers.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 22nd International Conference, MMM 2016, Proceedings
EditorsQi Tian, Richang Hong, Xueliang Liu, Nicu Sebe, Benoit Huet, Guo-Jun Qi
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783319276700
StatePublished - 1 Jan 2016
Event22nd International Conference on MultiMedia Modeling, MMM 2016 - Miami, United States
Duration: 4 Jan 20166 Jan 2016

Publication series

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


Conference22nd International Conference on MultiMedia Modeling, MMM 2016
CountryUnited States


  • Attractive
  • Familiar
  • Interesting regions
  • Spatio-temporal fusion
  • Unique
  • Vehicle navigation applications

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