What Catches Your Eyes as You Move Around? On the Discovery of Interesting Regions in the Street

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Conference on Multimedia Modeling

• Publication date

  2016-01-04

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/978-3-319-27671-7_64
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• MOSRO: Enabling Mobile Sensing for Real-Scene Objects with Grid Based Structured Output Learning

  2014cited by this paper
• Learning and Recognition of On-Premise Signs From Weakly Labeled Street View Images

  2014cited by this paper
• What makes Paris look like Paris?

  2012cited by this paper
• The normal natural troubles of driving with GPS

  2012cited by this paper
• Image Signature: Highlighting Sparse Salient Regions

  2012cited by this paper
• Measuring the Objectness of Image Windows

  2011cited by this paper
• Interactively building a discriminative vocabulary of nameable attributes

  2011cited by this paper
• Where should i turn: moving from individual to collaborative navigation strategies to inform the interaction design of future navigation systems

  2010cited by this paper
• Evaluating Color Descriptors for Object and Scene Recognition

  2010cited by this paper
• Efficient Visual Search of Videos Cast as Text Retrieval

  2009cited by this paper
• Interesting objects are visually salient.

  2008cited by this paper
• Learning to Detect A Salient Object

  2007cited by this paper
• Scalable Recognition with a Vocabulary Tree

  2006cited by this paper
• Graph-Based Visual Saliency

  2006cited by this paper
• Design advice for the inclusion of landmarks in vehicle navigation systems

  2002cited by this paper
• A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

  1998cited by this paper

• Eyes and Apps on the Streets: From Surveillance to Sousveillance Using Smartphones

  2019cites this paper
• Quantization-based image authentication scheme using QR error correction

  2017cites this paper