.png){kind=icon}
返回
A genetic algorithm approach for image representation learning through color quantization
.png){kind=icon}
OA
AI
DOI：10.1007/s11042-020-10194-z.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Over the last decades, hand-crafted feature extractors have been used to encode image visual properties into feature vectors. Recently, data-driven feature learning approaches have been successfully explored as alternatives for producing more representative visual features. In this work, we combine both research venues, focusing on the color quantization problem. We propose two data-driven approaches to learn image representations through the search for optimized quantization schemes, which lead to more effective feature extraction algorithms and compact representations. Our strategy employs Genetic Algorithm, a soft-computing apparatus successfully utilized in Information-retrieval-related optimization problems. We hypothesize that changing the quantization affects the quality of image description approaches, leading to effective and efficient representations. We evaluate our approaches in content-based image retrieval tasks, considering eight well-known datasets with different visual properties. Results indicate that the approach focused on representation effectiveness outperformed baselines in all tested scenarios. The other approach, which also considers the size of created representations, produced competitive results keeping or even reducing the dimensionality of feature vectors up to 25%.
Keyword:
Color quantization
Representation learning
Feature extraction
Genetic Algorithm
Content-based image retrieval
期刊
IF:
3
论文数:
1.9W
被引数:
3.2W
机构
引用论文
.png){kind=icon}
分享收藏Economic benefit evaluation method for the micro-grid renewable energy system operation微网可再生能源系统运行经济效益评价方法
PREAI
分享收藏Dynamic Changes in Myofibroblasts Affect the Carcinogenesis and Prognosis of Bladder Cancer Associated With Tumor Microenvironment Remodeling肌成纤维细胞的动态变化与肿瘤微环境重塑对膀胱癌发生及预后的影响OAAI
OAAI分享收藏分享收藏A New Internal Magnetic Field Assisted Machining Process Using a Magnetic Machining Jig-Machining Characteristics of Inside Finishing of a SUS304 Stainless Steel Tube一种基于磁力加工夹具的新型内部磁场辅助加工工艺——SUS304不锈钢管内壁精加工的加工特性
PREAI
分享收藏Intrapartum‐related perinatal deaths in births planned in midwifery‐led settings in Great Britain: findings and recommendations from the ESMiE confidential enquiry英国计划在助产士主导的环境中分娩的与肿瘤相关的围产期死亡: ESMiE机密调查的发现和建议
OAAI
OAAI分享收藏
查看更多内容