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PoseShop: human image database construction and personalized content synthesis.

Tao Chen1, Ping Tan, Li-Qian Ma

  • 1TNList, Department of Computer Science, Tsinghua University, FIT Building, Beijing 100084, China. chent@cg.cs.tsinghua.edu.cn

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|June 27, 2012
PubMed
Summary
This summary is machine-generated.

PoseShop is a new pipeline that creates a large, searchable human image database with minimal manual effort. This database enables personalized content synthesis and action correlation analysis for computer vision applications.

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Area of Science:

  • Computer Vision
  • Image Databases
  • Content Synthesis

Background:

  • Creating large, segmented human image datasets is labor-intensive.
  • Existing datasets lack comprehensive pose and attribute indexing.
  • Personalized content synthesis requires consistent character representation across frames.

Purpose of the Study:

  • To develop an automated pipeline (PoseShop) for constructing a large-scale segmented human image database.
  • To enable efficient querying of human figures based on pose, action, and clothing attributes.
  • To demonstrate applications in personalized content synthesis and action correlation analysis.

Main Methods:

  • Automated downloading, analysis, and filtering of internet images.
  • Segmentation of 400,000 human figures from backgrounds.
  • Organization by action semantics, clothing attributes, and pose shape indexing.
  • Development of head swapping and clothes swapping for content synthesis.

Main Results:

  • A database of 400,000 segmented human figures.
  • Querying by silhouette sketch or skeleton for pose retrieval.
  • Successful multiframe personalized comic-strip generation.
  • Demonstration of action correlation analysis.

Conclusions:

  • PoseShop significantly reduces manual effort in creating large human image databases.
  • The database facilitates novel applications in personalized content creation and computer vision research.
  • Pose-based indexing and attribute organization enhance database utility.