Data-driven image analysis and editing: A survey

Miao Wang; Fanglue Zhang; Shimin Hu

Data-driven image analysis and editing: A survey

Miao Wang
, Fanglue Zhang
, Shimin Hu^*

^*Corresponding author for this work

Tsinghua University

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Recent development of digital media and mobile Internet has boosted a huge amount of online images. Additional requirements such as intelligence and efficiency are required for data-driven image analysis and processing technology. Lacking sufficient information, traditional image editing methods taking one or multiple images as inputs, are likely to generate unsatisfactory results. Data-driven image editing methods take advantage of hidden knowledge in the image library, thus have potential to produce better results.

Original language	English
Pages (from-to)	2015-2024
Number of pages	10
Journal	Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
Volume	27
Issue number	11
State	Published - 1 Nov 2015
Externally published	Yes

Keywords

Data-driven
Image editing
Image retrieval
Image synthesis

Cite this

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AB - Recent development of digital media and mobile Internet has boosted a huge amount of online images. Additional requirements such as intelligence and efficiency are required for data-driven image analysis and processing technology. Lacking sufficient information, traditional image editing methods taking one or multiple images as inputs, are likely to generate unsatisfactory results. Data-driven image editing methods take advantage of hidden knowledge in the image library, thus have potential to produce better results.

KW - Data-driven

KW - Image editing

KW - Image retrieval

KW - Image synthesis

UR - https://www.scopus.com/pages/publications/84947742246

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SN - 1003-9775

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EP - 2024

JO - Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics

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IS - 11

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Data-driven image analysis and editing: A survey

Abstract

Keywords

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