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Clustering Guided SVM for Semantic Image Retrieval

Ke Gao, Shou-xun Lin, Yong-dong Zhang, Sheng Tang
2007 2007 2nd International Conference on Pervasive Computing and Applications  
SVM (Support Vector Machine) enables effective image classification for semantic image retrieval.  ...  Experimental results show that our algorithm achieves higher search accuracy than regular SVMfor semantic image retrieval.  ...  Conclusion We discussed a novel algorithm called CGSVM (Clustering Guided SVM) for semantic image retrieval.  ... 
doi:10.1109/icpca.2007.4365439 fatcat:sq23st6h4ndvjo5r6wnuwilqxy

Design and evaluation of a curve matching-based spine x-ray image retrieval system

D. J. Lee, Sameer Antani, Xiaoqian Xu, L. Rodney Long, Osman M. Ratib, Steven C. Horii
2005 Medical Imaging 2005: PACS and Imaging Informatics  
A spine x-ray image retrieval system has been developed for retrieving images based on the pathology information such as the osteophyte. Osteophyte shows only in particular regions on the vertebra.  ...  The retrieval results are ranked from the most similar to the least similar and can be all viewed by the user.  ...  Fig. 5 is the retrieval results of corner-guided DP. Fig. 6 is the retrieval results for the same query as in Fig. 5 using corner-guided Procrustes.  ... 
doi:10.1117/12.596442 fatcat:gdgco5pn4jfhzco4paa3pttoi4

A simple multi-feature based stereoscopic medical image retrieval system

K.A. Shaheer Abubacker, J. Sutha, K.A. Shahul Hameed
2019 Polish Journal of Medical Physics And Engineering  
This method retrieves similar images of the query image from the database and re-ranks them according to the disparity map.  ...  This paper describes a method of retrieving stereoscopic medical images from the database that consists of feature extraction, similarity measure, and re-ranking of retrieved images.  ...  The retrieved images are similar to the query image. The performance metrics are measured for different query images and the corresponding retrieved images.  ... 
doi:10.2478/pjmpe-2019-0017 fatcat:mesklwod25gendq54e5qkm6fpa

Preparation for upcoming attentional states in the hippocampus and medial prefrontal cortex [article]

Eren Günseli, Mariam Aly
2019 bioRxiv   pre-print
Hippocampus and mPFC exhibited higher activity for memory-guided vs. explicitly instructed attention.  ...  Given the importance of memory for predicting upcoming events, we hypothesized that memory-guided attention is supported by neural preparation for anticipated attentional states.  ...  We compared pattern similarity for trials of the same attentional state (i.e., art-art, roomroom) to pattern similarity for trials of different attentional states (i.e., art-room) separately for the memory-guided  ... 
doi:10.1101/825349 fatcat:3wsn4fwtuvgzvm3jzsbpkmz4k4

Plasticity of hippocampal memories in humans

Aidan J Horner, Christian F Doeller
2017 Current Opinion in Neurobiology  
Invasive electrophysiological recordings and non-invasive functional brain imaging have provided evidence for the rapid formation of hippocampal representations, as well as the ability of the hippocampus  ...  to both pattern-separate and pattern-complete input from the neocortex.  ...  However, when a similar looking 'lure' image is shown, DG showed a BOLD response similar to the first presentation of the image (see Ref. [37 ] for details).  ... 
doi:10.1016/j.conb.2017.02.004 pmid:28260633 pmcid:PMC5678278 fatcat:72nbywmonvdazcc6es6b633doq

Large-Scale Image Retrieval of Tourist Attractions Based on Multiple Linear Regression Equations

Yinping Song, Miaochao Chen
2021 Advances in Mathematical Physics  
The results show that compared with the above two algorithms, for most of the attractions, the method has a relatively obvious advantage in the accuracy of retrieval, and when there are few similar images  ...  The BOF model is borrowed from the method for text retrieval, which generally extracts the local features of an image by the scale-invariant feature transform algorithm and clusters them using k -means  ...  The existing image retrieval technology provides technical support for the research and implementation of the tour guide system.  ... 
doi:10.1155/2021/6019523 fatcat:hxyseac64jdr5jbkl4xqc42fs4

Deep Attention-Guided Hashing

Zhan Yang, Osolo Ian Raymond, Wuqing Sun, Jun Long
2019 IEEE Access  
., image, audio and video etc.) on the web, learning-based hashing techniques such as Deep Supervised Hashing (DSH) have proven to be very efficient for large-scale multimedia search.  ...  The attention loss is used to punish the attention network to obtain the salient region from pairs of images; in the second network, these attention-guided hash codes are used to guide the training of  ...  ACKNOWLEDGMENT The authors would like to thank the associate editor and anonymous reviewers for their comments to improve the paper.  ... 
doi:10.1109/access.2019.2891894 fatcat:edzv4jcp5zarzkv4qmltalcgje

Two-stream Attentive CNNs for Image Retrieval

Fei Yang, Jia Li, Shikui Wei, Qinjie Zheng, Ting Liu, Yao Zhao
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
In content-based image retrieval, the most challenging (and ambiguous) part is to define the similarity between images.  ...  Inspired by this fact, this paper presents two-stream attentive CNNs for image retrieval. As the human-being does, the proposed network has two streams that simultaneously handle two tasks.  ...  By minimizing (2), the MAC network gains the capability to aggregate similar images and separate dissimilar images, while such similarity is defined from the perspective of image retrieval.  ... 
doi:10.1145/3123266.3123396 dblp:conf/mm/YangLWZLZ17 fatcat:dyhuas4dbbcebnvkdhhxxbyu64

Texture Synthesis Guided Deep Hashing for Texture Image Retrieval [article]

Ayan Kumar Bhunia, Perla Sai Raj Kishore, Pranay Mukherjee, Abhirup Das, Partha Pratim Roy
2019 arXiv   pre-print
With the large-scale explosion of images and videos over the internet, efficient hashing methods have been developed to facilitate memory and time efficient retrieval of similar images.  ...  Experiments on three public texture image retrieval datasets indicate the superiority of our texture synthesis guided hashing approach over current state-of-the-art methods.  ...  features to retrieve similar images.  ... 
arXiv:1811.01401v4 fatcat:vicohipj5zbhdnrcmua5r42cdu

Localize Me Anywhere, Anytime: A Multi-task Point-Retrieval Approach

Guoyu Lu, Yan Yan, Li Ren, Jingkuan Song, Nicu Sebe, Chandra Kambhamettu
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
We further apply multi-task learning (MTL) retrieval approach on thermal images to prove that our MTL retrieval framework also provides superior performance for the thermal domain.  ...  Furthermore, the reconstruction of 3D model exploits the correlation among different images, based on the fact that images captured from different views for SfM share information through matching features  ...  However, we learn a projection matrix W which optimally separates data from different classes, which is sparse (thus filters out noisy features) and has a structure reflecting image view similarity for  ... 
doi:10.1109/iccv.2015.280 dblp:conf/iccv/LuYRSSK15 fatcat:5be64fqtgbgndcesr62kv7ruki

Single-shot self-interference incoherent digital holography using off-axis configuration

Jisoo Hong, Myung K. Kim
2013 Optics Letters  
We propose a single-shot incoherent holographic imaging technique that adopts self-interference incoherent digital holography (SIDH) with slight tilt of the plane mirror in the optical configuration.  ...  The observation shows that the reconstruction by cross correlation with the guide-star hologram achieves better quality than the usual propagation methods.  ...  image, h r is the retrieved complex hologram, and h g is the guide-star hologram.  ... 
doi:10.1364/ol.38.005196 pmid:24281544 pmcid:PMC4620730 fatcat:2u3ddmfjrjelfbmb6iumyjvo6u

Sketch based Shopping

Hraddha. R. Kuchekar, Amruta. L. Satnur, Rutuja. P. Baheti, Prachi. L. Kamble
2017 IJARCCE  
Sketch Based Image Retrieval is an extension of Content Based Image Retrieval, in which rather than providing a digital image as a query, a hand drawn sketch is used.  ...  Content based Image Retrieval is the rising research areas in digital image processing.  ...  CBIR (Content Based Image Retrieval) methods I. Resize-It will convert drawn sketch image size similar to database image size. II.  ... 
doi:10.17148/ijarcce.2017.6378 fatcat:tw6q4pmekvgrtl3ycxlkn7itcm

On-the-fly audio source separation

Dalia El Badawy, Ngoc Q. K. Duong, Alexey Ozerov
2014 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)  
"dog barking", "wind", etc.) describing the sound sources to be separated. These keywords are then used as text queries to search for audio examples from the internet to guide the separation process.  ...  Index Terms-On-the-fly source separation, user-guided, non-negative matrix factorization, group sparsity, universal spectral model.  ...  The corresponding representative example images are then retrieved via Google Image Search and used for training an appropriate classifier. Figure 1 depicts the workflow of the proposed system.  ... 
doi:10.1109/mlsp.2014.6958922 dblp:conf/mlsp/BadawyDO14 fatcat:buz5a2kox5bjtg7vkmu7pkqq5y

DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval [article]

Aichun Zhu, Zijie Wang, Yifeng Li, Xili Wan, Jing Jin, Tian Wang, Fangqiang Hu, Gang Hua
2021 arXiv   pre-print
In order to adequately utilize multi-modal and multi-granular information for a higher retrieval accuracy, five diverse alignment paradigms are adopted.  ...  Extensive experiments are carried out to evaluate the proposed DSSL on CUHK-PEDES, which is currently the only accessible dataset for text-base person retrieval task.  ...  Text-based Person Retrieval Text-based person retrieval aims to search for the corresponding pedestrian image according to a given text query. This task is first put forward by Li et al.  ... 
arXiv:2109.05534v1 fatcat:ffagkml6gfge5fzrzqxydwc3ua

Content-based image retrieval incorporating models of human perception

M.E. Celebi, Y.A. Aslandogan
2004 International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.  
The approach is to guide the search for an optimum similarity function using human perception. First, the images are segmented using an automated segmentation tool.  ...  The system is tested for content-based retrieval of skin lesion images. The results show significant agreement between the computer assessment and human perception of similarity.  ...  In this work, we used aggregated human perception as a guide in optimizing a visual similarity function in a content-based image retrieval system.  ... 
doi:10.1109/itcc.2004.1286639 dblp:conf/itcc/CelebiA04 fatcat:mrha6623tven3jruirsgtlcf2q
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