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Shanshan Han, Fu Ren, Qingyun Du and Dawei Gui
Extracting representative images of tourist attractions from geotagged photos is beneficial to many fields in tourist management, such as applications in touristic information systems. This task usually begins with clustering to extract tourist attractio...
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Naoko Nitta, Kazuaki Nakamura and Noboru Babaguchi
While visual appearances play a main role in recognizing the concepts captured in images, additional information can provide complementary information for fine-grained image recognition, where concepts with similar visual appearances such as species of b...
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Zahra Riahi Samani and Mohsen Ebrahimi Moghaddam
The size of internet image collections is increasing drastically. As a result, new techniques are required to facilitate users in browsing, navigation, and summarization of these large volume collections. Image collection summarization methods present us...
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Chiman Kwan
Multispectral (MS) and hyperspectral (HS) images have been successfully and widely used in remote sensing applications such as target detection, change detection, and anomaly detection. In this paper, we aim at reviewing recent change detection papers an...
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Ana García Serrano, Jorge Horcas Pulido,, Fernando López Ostenero
Pág. 26 - 36
In this paper it is presented a study on verbs in Spanish and it?s potential to display images from the Wikipedia (Wikimedia). It is designed and developed an Information Retrieval model based on linguistic structures of verbs and an environment that all...
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Feng Peng and Kai Li
Most existing deep image clustering methods use only class-level representations for clustering. However, the class-level representation alone is not sufficient to describe the differences between images belonging to the same cluster. This may lead to hi...
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Youyong Zhou, Lingjie Yu, Chao Zhi, Chuwen Huang, Shuai Wang, Mengqiu Zhu, Zhenxia Ke, Zhongyuan Gao, Yuming Zhang and Sida Fu
As an important branch in the field of image fusion, the multi-focus image fusion technique can effectively solve the problem of optical lens depth of field, making two or more partially focused images fuse into a fully focused image. In this paper, the ...
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Hongwei Zhao, Jiaxin Wu, Danyang Zhang and Pingping Liu
For full description of images? semantic information, image retrieval tasks are increasingly using deep convolution features trained by neural networks. However, to form a compact feature representation, the obtained convolutional features must be furthe...
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Shanshan Han, Cuiming Liu, Keyun Chen, Dawei Gui and Qingyun Du
The rapid development of social media data, including geotagged photos, has benefited the research of tourism geography; additionally, tourists? increasing demand for personalized travel has encouraged more researchers to pay attention to tourism recomme...
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Ying Tian, Shun?ichi Kaneko, So Sasatani, Masaya Itoh and Ming Fang
This paper presents a novel method that absorbs the strong discriminative ability from absent color indexing (ABC) to enhance sensitivity and combines it with a correlation filter (CF) for obtaining a higher precision; this method is named ABC-CF. First,...
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Marko Horvat, Alan Jovic and Danko Ivo?evic
Evaluation of document classification is straightforward if complete information on the documents? true categories exists. In this case, the rank of each document can be accurately determined and evaluated. However, in an unsupervised setting, where the ...
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Neema Nicodemus Lyimo, Zhenfeng Shao, Ally Mgelwa Ally, Nana Yaw Danquah Twumasi, Orhan Altan and Camilius A. Sanga
Besides OpenStreetMap (OSM), there are other local sources, such as open government data (OGD), that have the potential to enrich the modeling process with decision criteria that uniquely reflect some local patterns. However, both data are affected by un...
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Blake M. Allan, Daniel Ierodiaconou, Andrew J. Hoskins and John P.Y. Arnould
Condition indices correlating body lipid content with mass and morphometric measurements have been developed for a variety of taxa. However, for many large species, the capture and handling of enough animals to obtain representative population estimates ...
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Shuangshuang Chen, Huiyi Liu, Xiaoqin Zeng, Subin Qian, Wei Wei, Guomin Wu and Baobin Duan
The objective of this work is image classification, whose purpose is to group images into corresponding semantic categories. Four contributions are made as follows: (i) For computational simplicity and efficiency, we directly adopt raw image patch vector...
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Yiwen Liu, Zhongbin Wang, Lei Si, Lin Zhang, Chao Tan and Jing Xu
To eliminate the noise of infrared thermal image without reference and noise model, an improved dual-tree complex wavelet transform (DTCWT), optimized by an improved fruit-fly optimization algorithm (IFOA) and bilateral filter (BF), is proposed in this p...
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Bata Hena, Ziang Wei, Luc Perron, Clemente Ibarra Castanedo and Xavier Maldague
Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in a wide range of industrial sectors. Conventional human-based approaches, however, are prone to challenges in defect detection accuracy and efficie...
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Kai Li, Quan Liu, Yuan Tian, Cong Du and Zhixiang Xu
Asphalt mixtures exhibit complex mechanical behaviors due to their multiphase internal structures. To provide better characterizations of asphalt pavements under various forms of potential distress, a two-dimensional (2D) finite element simulation based ...
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Ho-Jun Yoo, Hyoseob Kim, Tae-Soon Kang, Ki-Hyun Kim, Ki-Young Bang, Jong-Beom Kim and Moon-Sang Park
Coastal erosion is caused by various factors, such as harbor development along coastal areas and climate change. Erosion has been accelerated recently due to sea level rises, increased occurrence of swells, and higher-power storm waves. Proper understand...
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Xueliang Wang, Nan Yang, Enjun Liu, Wencheng Gu, Jinglin Zhang, Shuo Zhao, Guijiang Sun and Jian Wang
In order to solve the problem of manual labeling in semi-supervised tree species classification, this paper proposes a pixel-level self-supervised learning model named M-SSL (multisource self-supervised learning), which takes the advantage of the informa...
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Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Mekhlafi, Meshari Alazmi, Abdulaziz M. Alayba, Adwan Alownie Alanazi, Abdulrahman Alreshidi and Mona Alshahrani
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting from vitreous slides to whole-slide images (WSIs) allows images to be ...
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