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.
Filters
Multimodal biomedical image retrieval using hierarchical classification and modality fusion
2013
International Journal of Multimedia Information Retrieval
Preserved Fulltext
To minimize limitations of low-level feature representations in content-based image retrieval (CBIR), and to complement text-based search, we propose a multi-modal image search approach that exploits hierarchical ...
Finally, the multi-modal search consists of a weighted linear combination of similarity scores of independent output results from textual and visual search approaches (inter modality). ...
Perform feature selection on the text feature vector to combine with visual feature vector. 3: Perform text-based image retrieval in Essie search engine and retrieve top most similar images (maximum 1000 ...
doi:10.1007/s13735-013-0038-4
fatcat:cl7yikyncjaknivblsixnjbe74
Image Similarity Learning through Rankboost Mechanism Based On Keywords and Content Queries
2013
IOSR Journal of Computer 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 2018; you can also visit the original URL.
The file type is application/pdf.
Content based image retrieval (CBIR) model uses the visual information of the images. Image search methods use the text annotation and image visual features. ...
They are query keyword based model and content based image retrieval models. Text query strings are used in the textual image retrieval model. ...
It requires the user to click on one query image with minimum effort and images from a pool retrieved by text-based search are reranked based on both visual and textual content. ...
doi:10.9790/0661-0854751
fatcat:2xvuovpnyjdsrlampjyacebxsy
Co-reranking by mutual reinforcement for image search
2010
Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10
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 2016; you can also visit the original URL.
The file type is application/pdf.
Observing that multi-modality cues carry complementary relevant information, we propose the idea of co-reranking for image search, by jointly exploring the visual and textual information. ...
Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. ...
In contrast, co-reranking mutually takes the advantage of textual and visual cues from each other for simultaneous improvement of text and visual search. ...
doi:10.1145/1816041.1816048
dblp:conf/civr/YaoMN10
fatcat:6jeidijmmbbm3cqeb7sx5jwpam
Improving web image search results using query-relative classifiers
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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 2011; you can also visit the original URL.
The file type is application/pdf.
They combine textual features, based on the occurence of query terms in web pages and image meta-data, and visual histogram representations of images. ...
Top-ranked images for the query 'eiffel tower', using (a) a text-based image search engine and (b) our model, ordered left-to-right. ...
We thank ANR project R2I for financial support, and Exalead for image collection and labeling. ...
doi:10.1109/cvpr.2010.5540092
dblp:conf/cvpr/KrapacAVJ10
fatcat:6e6eqpp6zndg5gfmw2h2ubtls4
A Feature Analysis for Multimodal News Retrieval
[article]
2020
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
To this end, we consider five feature types for image and text and compare the performance of the retrieval system using different combinations. ...
Experimental results show that retrieval results can be improved when considering both visual and textual information. ...
Acknowledgements This project has received funding from the European Unions Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement no 812997. ...
arXiv:2007.06390v2
fatcat:fgzrpwtrevedjngjsdaypetgpa
IntentSearch: Capturing User Intention for One-Click Internet Image Search
2012
IEEE Transactions on Pattern Analysis and Machine Intelligence
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.
It only requires the user to click on one query image with minimum effort and images from a pool retrieved by text-based search are reranked based on both visual and textual content. ...
Inside each category, a specific weight schema is used to combine visual features adaptive to this kind of image to better rerank the text-based search result. 2) Based on the visual content of the query ...
ACKNOWLEDGMENTS This work is partially supported by Hong Kong SAR through RGC project 416510 and by Guangdong Province through Introduced Innovative R&D Team of Guangdong Province 201001D0104648280. ...
doi:10.1109/tpami.2011.242
pmid:22156100
fatcat:jdy234e23raoddgo2ftz3ezxbu
Visual Reranking: From Objectives to Strategies
2011
IEEE Multimedia
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.
Searching with textual queries is more natural for users, and it leads to another important search style, that is, text-based multimedia search. ...
Text-based multimedia search completely relies on indexing the associated textual information of images, such as image tags, webpage filenames, and surrounding text. ...
Reranking strategy At the early stage of improving text-based search results by incorporating visual information, simple linear combination was used to combine the search results derived from textual and ...
doi:10.1109/mmul.2011.36
fatcat:ti34miqu4vbqnhto3oa6q7znpu
Joint Visual-Textual Embedding for Multimodal Style Search
[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 2019; you can also visit the original URL.
The file type is application/pdf.
This joint visual-textual embedding space enables manipulating catalog images semantically, based on textual refinement requirements. ...
We propose a method to retrieve similar items, based on a query item image and textual refinement properties. ...
These feature vectors can be used to search for products, with similar visual or textual properties, in a dedicated catalog. ...
arXiv:1906.06620v1
fatcat:hma2wxq4rfaurov7s53zwovmay
Boosting image retrieval through aggregating search results based on visual annotations
2008
Proceeding of the 16th ACM international conference on Multimedia - MM '08
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.
image retrieval techniques to complement the text-based search. ...
Textual annotations are used not only to describe the visual content of an image, but also subjective, spatial, temporal and social dimensions, complicating the task of keywordbased search. ...
On the one hand, we focus on combining visual and textual search to improve the quality of our search results. ...
doi:10.1145/1459359.1459386
dblp:conf/mm/OlivaresCZ08
fatcat:5ehhsdbdlbfwvaq4bn6z3ruzqm
Sloth Search System at the Video Browser Showdown 2018 - Final Notes
[article]
2018
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 2019; you can also visit the original URL.
The file type is application/pdf.
This short paper provides further details of the Sloth Search System, which was developed by the NECTEC team for the Video Browser Showdown (VBS) 2018. ...
In order to combine the results from textual and visual search, the weighed formulation is used in Eq. 1. ...
with video shot. • combining the text-based and sketch-based search by using weighted technique. • two display modes for the retrieval results: sort all frame by the similarity score and group the frames ...
arXiv:1806.01081v1
fatcat:uhetntlh4fhyjntoosx6jsqja4
A multimedia interactive search engine based on graph-based and non-linear multimodal fusion
2016
2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)
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.
This paper presents an interactive multimedia search engine, which is capable of searching into multimedia collections by fusing textual and visual information. ...
Apart from multimedia search, the engine is able to perform text search and image retrieval independently using both high-level and lowlevel information. ...
ACKNOWLEDGMENTS This work was partially supported by the European Commission by the projects MULTISENSOR (FP7-610411), HOMER (FP7-312883) and KRISTINA (H2020-645012). ...
doi:10.1109/cbmi.2016.7500276
dblp:conf/cbmi/MoumtzidouGMLVK16
fatcat:zx3tgnl6dbcljaaezmakgmc72y
Semantic combination of textual and visual information in multimedia retrieval
2011
Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11
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.
These techniques emerge from the observation that image and textual queries are expressed at different semantic levels and that a single image query is often ambiguous. ...
The goal of this paper is to introduce a set of techniques we call semantic combination in order to efficiently fuse text and image retrieval systems in the context of multimedia information access. ...
There exist many text based search engines and content based image retrieval (CBIR) systems that respectively address text search and image search tasks. ...
doi:10.1145/1991996.1992040
dblp:conf/mir/ClinchantAC11
fatcat:b7tqeaadpfgz3dfbg5gq6j4vva
A Multimodal Learning to Rank model for Web Pages
2020
International Journal of Engineering and Advanced Technology
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.
The multimodal LTR which integrates the visual and textual features shows an improvement of 10-15% in web search accuracy. ...
Researches have proven that a multimodality based search would improve the rank list populated. The multiple modalities considered here are the text on a webpage as well as the images on a webpage. ...
[6] A multimodal web reranking that combines the text ranking with the image descriptors exploited a pure text-based search engine to find a ranked list of candidate web pages for a given query. ...
doi:10.35940/ijeat.f1442.089620
fatcat:2kfk6m47i5hhnfotnn7enheqzy
Late Semantic Fusion Approaches for Multimedia Information Retrieval with Automatic Tag Generation
2015
International Journal of Computer Applications
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.
Five late semantic fusion approaches are used for text based and content based image retrieval of any dataset. ...
An image contains several types of visual information which are difficult to extract and combine manually by humans. ...
They proposed semantic combination models for textual and visual information fusion can significantly improve multimedia retrieval performances while being more robust with respect to the choice of the ...
doi:10.5120/ijca2015906966
fatcat:qh64szjxd5bkheeiynex2mq3by
Web Image Retrieval using Hashing Technique: A Survey
2015
International Journal of Engineering Research and
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.
moreover the textual and image based features. ...
And then, users select the images based on their textual queries but it is in the form of visual images pool. ...
moreover the textual and image based features. ...
doi:10.17577/ijertv4is020855
fatcat:4hlbcnwllnb4zeqescf7odq7vy
« Previous
Showing results 1 — 15 out of 37,335 results