|
|
|
|
|
Youmeng Luo, Wei Li, Xiaoyu Ma and Kaiqiang Zhang
With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks (CNN) have been used in the field of...
ver más
|
|
|
|
|
|
|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mathias Lux, Arthur Pitman and Oge Marques
Recent advances in the fields of digital photography, networking and computing, have made it easier than ever for users to store and share photographs. However without sufficient metadata, e.g., in the form of tags, photos are difficult to find and organ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adil Redaoui, Amina Belalia and Kamel Belloulata
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable structura...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem, Sidi Ahmed Mahmoudi and Aurélie Cools
Indexing images by content is one of the most used computer vision methods, where various techniques are used to extract visual characteristics from images. The deluge of data surrounding us, due the high use of social and diverse media acquisition syste...
ver más
|
|
|
|
|
|
|
|
|
|
|
DaYou Jiang and Jongweon Kim
This paper presents a new content-based image retrieval (CBIR) method based on image feature fusion. The deep features are extracted from object-centric and place-centric deep networks. The discrete cosine transform (DCT) solves the strong correlation of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ezekiel Mensah Martey, Hang Lei, Xiaoyu Li and Obed Appiah
Image representation plays a vital role in the realisation of Content-Based Image Retrieval (CBIR) system. The representation is performed because pixel-by-pixel matching for image retrieval is impracticable as a result of the rigid nature of such an app...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tie Hua Zhou, Ling Wang and Keun Ho Ryu
The ever-increasing quantities of digital photo resources are annotated with enriching vocabularies to form semantic annotations. Photo-sharing social networks have boosted the need for efficient and intuitive querying to respond to user requirements in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ferdinand Maiwald, Christoph Lehmann and Taras Lazariv
The idea of virtual time machines in digital environments like hand-held virtual reality or four-dimensional (4D) geographic information systems requires an accurate positioning and orientation of urban historical images. The browsing of large repositori...
ver más
|
|
|
|
|
|
|
|
|
|
|
Longyu Zhang, Hao Xia, Qingjun Liu, Chunyang Wei, Dong Fu and Yanyou Qiao
Positioning information has become one of the most important information for processing and displaying on smart mobile devices. In this paper, we propose a visual positioning method using RGB-D image on smart mobile devices. Firstly, the pose of each ima...
ver más
|
|
|
|
|
|
|
|
|
|
|
Houaria ABED, Lynda ZAOUI
Pág. 97 - 113
Recent years have witnessed great interest in developing methods for content-based image retrieval (CBIR). Generally, the image search results which are returned by an image search engine contain multiple topics, and organizing the results into different...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dmitry Vesnin, Dmitry Levshun and Andrey Chechulin
The origin of the trademark similarity analysis problem lies within the legal area, specifically the protection of intellectual property. One of the possible technical solutions for this issue is the trademark similarity evaluation pipeline based on the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianan Bai, Danyang Qin, Ping Zheng and Lin Ma
In visual indoor positioning systems, the method of constructing a visual map by point-by-point sampling is widely used due to its characteristics of clear static images and simple coordinate calculation. However, too small a sampling interval will cause...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gurtaj Singh, Vincenzo Violi and Marco Fisichella
Healthcare data are distributed and confidential, making it difficult to use centralized automatic diagnostic techniques. For example, different hospitals hold the electronic health records (EHRs) of different patient populations; however, transferring t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peng Chen and Huibing Wang
Semi-supervised metric learning intends to learn a distance function from the limited labeled data as well as a large amount of unlabeled data to better gauge the similarities of any two instances than using a general distance function. However, most exi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wojciech Michal Glinkowski, Tomasz Miscior and Robert Sitnik
Innovative technologies can improve user usability and satisfaction in computer-based activities in the work environment, including surgeons working in the operating room (OR). A scrubbed surgeon must ask unscrubbed staff to retrieve medical images from ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shahbaz Sikandar, Rabbia Mahum and AbdulMalik Alsalman
The multimedia content generated by devices and image processing techniques requires high computation costs to retrieve images similar to the user?s query from the database. An annotation-based traditional system of image retrieval is not coherent becaus...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zijian Chao and Yongming Li
Nowadays, people?s lives are filled with a huge amount of picture information, and image retrieval tasks are widely needed. Deep hashing methods are extensively used to manage such demands due to their retrieval rate and memory consumption. The problem w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kai Ma, Bowen Wang, Yunqin Li and Jiaxin Zhang
Propagating architectural heritage is of great significance to the inheritance and protection of local culture. Recommendations based on user preferences can greatly benefit the promotion of local architectural heritage so as to better protect and inheri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenjin Hu, Yukun Chen, Lifang Wu, Ge Shi and Meng Jian
Hamming space retrieval is a hot area of research in deep hashing because it is effective for large-scale image retrieval. Existing hashing algorithms have not fully used the absolute boundary to discriminate the data inside and outside the Hamming ball,...
ver más
|
|
|
|
|
|