CN111095293A - 图像美学处理方法及电子设备 - Google Patents

图像美学处理方法及电子设备 Download PDF

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CN111095293A
CN111095293A CN201880060615.XA CN201880060615A CN111095293A CN 111095293 A CN111095293 A CN 111095293A CN 201880060615 A CN201880060615 A CN 201880060615A CN 111095293 A CN111095293 A CN 111095293A
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CN111095293B (zh
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张晴
谢淼
芮祥麟
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Huawei Technologies Co Ltd
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Abstract

本申请提供一种图像美学处理方法及电子设备,其中,图像美学评分模型生成方法包括:根据预设的卷积结构集合构建第一神经网络;获取图像分类神经网络,其中,所述图像分类神经网络用于对图像的场景进行分类;根据所述第一神经网络以及所述图像分类神经网络,得到第二神经网络,所述第二神经网络为包含场景信息的神经网络;根据所述第二神经网络,确定图像美学评分模型,所述图像美学评分模型的输出信息包括图像场景分类信息。该方法中,通过在主干神经网络上融合了场景信息,使得所得到的图像美学评分模型具有可解释性,同时,使用预设的卷积结构集合,可以提升图像美学评分模型的评分准确率。

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PCT国内申请,说明书已公开。

Claims (35)

  1. PCT国内申请,权利要求书已公开。
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112418295A (zh) * 2020-11-18 2021-02-26 北京三快在线科技有限公司 图像处理方法、装置、设备及存储介质
CN112650870A (zh) * 2020-12-30 2021-04-13 北京天广汇通科技有限公司 一种训练图片排序模型的方法、图片排序的方法以及装置
CN112839167A (zh) * 2020-12-30 2021-05-25 Oppo(重庆)智能科技有限公司 图像处理方法、装置、电子设备及计算机可读介质
CN112967358A (zh) * 2021-03-08 2021-06-15 上海微电机研究所(中国电子科技集团公司第二十一研究所) 基于美学质量的数字相册筛选方法、装置和电子设备
CN113744012A (zh) * 2020-08-10 2021-12-03 北京沃东天骏信息技术有限公司 一种信息处理方法、装置和存储介质
CN114283083A (zh) * 2021-12-22 2022-04-05 杭州电子科技大学 一种基于解耦表示的场景生成模型的美学增强方法
CN114970654A (zh) * 2021-05-21 2022-08-30 华为技术有限公司 数据处理方法、装置和终端

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11367222B2 (en) * 2018-04-20 2022-06-21 Hewlett-Packard Development Company, L.P. Three-dimensional shape classification and retrieval using convolutional neural networks and majority vote
US11531840B2 (en) * 2019-02-08 2022-12-20 Vizit Labs, Inc. Systems, methods, and storage media for training a model for image evaluation
US10467504B1 (en) 2019-02-08 2019-11-05 Adhark, Inc. Systems, methods, and storage media for evaluating digital images
CN112258450B (zh) * 2019-07-31 2022-02-25 华为技术有限公司 一种对象评分方法及装置
CN111340073A (zh) * 2020-02-12 2020-06-26 杭州涂鸦信息技术有限公司 一种图像等级评判的深度学习训练方法及系统
US11494886B2 (en) * 2020-05-29 2022-11-08 Adobe Inc. Hierarchical multiclass exposure defects classification in images
CN112559884B (zh) * 2020-12-25 2023-09-26 北京百度网讯科技有限公司 全景图与兴趣点挂接的方法、装置、电子设备及存储介质
CN113012153A (zh) * 2021-04-30 2021-06-22 武汉纺织大学 一种铝型材瑕疵检测方法
CN114494130A (zh) * 2021-12-24 2022-05-13 吉林建筑大学 一种基于最优模型评价准则的产品美学评价体系
CN114324361B (zh) * 2021-12-31 2024-03-15 大连理工大学 一种金相组织劣化评级方法及装置
CN116452904B (zh) * 2023-02-10 2023-09-15 北京航空航天大学 图像美学质量确定方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160098844A1 (en) * 2014-10-03 2016-04-07 EyeEm Mobile GmbH Systems, methods, and computer program products for searching and sorting images by aesthetic quality
US20160179844A1 (en) * 2014-12-17 2016-06-23 Adobe Systems Incorporated Neural Network Image Curation Control
CN107018330A (zh) * 2017-04-19 2017-08-04 中国电子科技集团公司电子科学研究院 一种实时拍照指导方法及装置
CN107146198A (zh) * 2017-04-19 2017-09-08 中国电子科技集团公司电子科学研究院 一种照片智能裁剪方法及装置
US20170347259A1 (en) * 2016-05-31 2017-11-30 Samsung Electronics Co., Ltd. Network use method using virtual sim and apparatus therefor

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104333707B (zh) * 2014-11-25 2017-10-10 广东威创视讯科技股份有限公司 相机参数调整方法和系统
CN105528757B (zh) 2015-12-08 2019-01-29 华南理工大学 一种基于内容的图像美学质量提升方法
CN105787510A (zh) * 2016-02-26 2016-07-20 华东理工大学 基于深度学习实现地铁场景分类的系统及方法
CN107169586A (zh) * 2017-03-29 2017-09-15 北京百度网讯科技有限公司 基于人工智能的资源组合优化方法、装置及存储介质
CN107153838A (zh) 2017-04-19 2017-09-12 中国电子科技集团公司电子科学研究院 一种照片自动分级方法及装置
US10521705B2 (en) * 2017-11-14 2019-12-31 Adobe Inc. Automatically selecting images using multicontext aware ratings

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160098844A1 (en) * 2014-10-03 2016-04-07 EyeEm Mobile GmbH Systems, methods, and computer program products for searching and sorting images by aesthetic quality
US20160179844A1 (en) * 2014-12-17 2016-06-23 Adobe Systems Incorporated Neural Network Image Curation Control
US20170347259A1 (en) * 2016-05-31 2017-11-30 Samsung Electronics Co., Ltd. Network use method using virtual sim and apparatus therefor
CN107018330A (zh) * 2017-04-19 2017-08-04 中国电子科技集团公司电子科学研究院 一种实时拍照指导方法及装置
CN107146198A (zh) * 2017-04-19 2017-09-08 中国电子科技集团公司电子科学研究院 一种照片智能裁剪方法及装置

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
谢燕娟等: "特征互补的图像美学质量评分方法" *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113744012A (zh) * 2020-08-10 2021-12-03 北京沃东天骏信息技术有限公司 一种信息处理方法、装置和存储介质
CN112418295A (zh) * 2020-11-18 2021-02-26 北京三快在线科技有限公司 图像处理方法、装置、设备及存储介质
CN112650870A (zh) * 2020-12-30 2021-04-13 北京天广汇通科技有限公司 一种训练图片排序模型的方法、图片排序的方法以及装置
CN112839167A (zh) * 2020-12-30 2021-05-25 Oppo(重庆)智能科技有限公司 图像处理方法、装置、电子设备及计算机可读介质
CN112839167B (zh) * 2020-12-30 2023-06-30 Oppo(重庆)智能科技有限公司 图像处理方法、装置、电子设备及计算机可读介质
CN112967358A (zh) * 2021-03-08 2021-06-15 上海微电机研究所(中国电子科技集团公司第二十一研究所) 基于美学质量的数字相册筛选方法、装置和电子设备
CN114970654A (zh) * 2021-05-21 2022-08-30 华为技术有限公司 数据处理方法、装置和终端
CN114283083A (zh) * 2021-12-22 2022-04-05 杭州电子科技大学 一种基于解耦表示的场景生成模型的美学增强方法
CN114283083B (zh) * 2021-12-22 2024-05-10 杭州电子科技大学 一种基于解耦表示的场景生成模型的美学增强方法

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