Photo Filter Classification and Filter Recommendation without Much Manual Labeling

Wei Ta Chu, Yu Tzu Fan

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Because how users employ filters to photos may reveal user's preference or mental state, a photo filter classification method is potentially demanded to enable future large-scale analysis. We adopt the transfer learning technique to transform deep models pre-trained for object classification into models suitable for photo filter classification. Based on accurate classification results, we build a filter recommendation approach without much manual labeling. It can be easily extended when more training data are available. A series of experimental studies are conducted to demonstrate effectiveness of filter classification with transfer learning. We also demonstrate the proposed filter recommendation achieves encouraging performance.

原文English
主出版物標題IEEE 21st International Workshop on Multimedia Signal Processing, MMSP 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728118178
DOIs
出版狀態Published - 2019 九月
事件21st IEEE International Workshop on Multimedia Signal Processing, MMSP 2019 - Kuala Lumpur, Malaysia
持續時間: 2019 九月 272019 九月 29

出版系列

名字IEEE 21st International Workshop on Multimedia Signal Processing, MMSP 2019

Conference

Conference21st IEEE International Workshop on Multimedia Signal Processing, MMSP 2019
國家/地區Malaysia
城市Kuala Lumpur
期間19-09-2719-09-29

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 媒體技術

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