A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Filters
Clustering Guided SVM for Semantic Image Retrieval
2007
2007 2nd International Conference on Pervasive Computing and Applications
Preserved Fulltext
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
2005
Medical Imaging 2005: PACS and Imaging Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is application/pdf.
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
2019
Polish Journal of Medical Physics And Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2019
bioRxiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2017
Current Opinion in Neurobiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2021
Advances in Mathematical Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
., 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
2017
Proceedings of the 2017 ACM on Multimedia Conference - MM '17
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
2015
2015 IEEE International Conference on Computer Vision (ICCV)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2013
Optics Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2017
IJARCCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2014
2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
"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]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2004
International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2005; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 146,658 results