کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6938777 | 1449965 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved spatial pyramid matching for scene recognition
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
A scene image is typically composed of successive background contexts and objects with regular shapes. To acquire such spatial information, we propose a new type of spatial partitioning scheme and a modified pyramid matching kernel based on spatial pyramid matching (SPM). A dense histogram of oriented gradients (HOG) is used as a low-level visual descriptor. Furthermore, inspired by the expressive coding ability of autoencoders, we also propose another approach that encodes local descriptors into mid-level features using various autoencoders. The learned mid-level features are encouraged to be sparse, robust and contractive. Then, modified spatial pyramid pooling and local normalization of the mid-level features facilitate the generation of high-level image signatures for scene classification. Comprehensive experimental results on publicly available scene datasets demonstrate the effectiveness of our methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 82, October 2018, Pages 118-129
Journal: Pattern Recognition - Volume 82, October 2018, Pages 118-129
نویسندگان
Lin Xie, Feifei Lee, Li Liu, Zhong Yin, Yan Yan, Weidong Wang, Junjie Zhao, Qiu Chen,