Loading…
Image Caption Generation in Telugu
Numerous methods are available to describe images by words and image captioning is a well-examined and researched topic. Further, the subject was much studied to work with English. Our model functions to generate descriptive explanations for general images in Telugu using Deep Learning techniques. T...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Conference Proceeding |
| Language: | English |
| Subjects: | |
| Online Access: | Request full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | |
|---|---|
| cites | |
| container_end_page | 443 |
| container_issue | |
| container_start_page | 438 |
| container_title | |
| container_volume | 1 |
| creator | Dwarampudi, Jagan Mohan Reddy Rampavan, Damerla Sathwik, Mandavilli Anu Sandeep Reddy, Kaipu Nivas Mishra, Vipul Kumar Singh, Dilbag Agrawal, Apeksha |
| description | Numerous methods are available to describe images by words and image captioning is a well-examined and researched topic. Further, the subject was much studied to work with English. Our model functions to generate descriptive explanations for general images in Telugu using Deep Learning techniques. Trained on images having Telugu captions, the features of an image are initially extracted using InceptionV3, a pre-trained Convolutional Neural Network model whereas the syntactic and semantic features are processed by using pre-trained fastText word embeddings of Telugu on a Recurrent Neural Network of Long short-term memory architecture. This concept can spread the benefit of well-developed models to native Telugu speakers. |
| doi_str_mv | 10.1109/ICACCS51430.2021.9441908 |
| format | conference_proceeding |
| fullrecord | <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_9441908</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9441908</ieee_id><sourcerecordid>9441908</sourcerecordid><originalsourceid>FETCH-LOGICAL-i118t-d35a03b7cce1d04e2af6afb39bec8e0ff2c6bcb1bfea34270e09ea01e9ef0c1d3</originalsourceid><addsrcrecordid>eNpVj01LAzEURaMiWOr8AjeD-xnfy8fkZSlBa6HgwrouSealRNqxzLQL_72i3bi6Fw5czhWiRmgRwT0s_aP3bwa1glaCxNZpjQ7oQlTOEnad0WAk0qWYSWNNYyXR1T8GeCOqafoAAIXkiGgm7pf7sOXah8OxfA71ggcew28tQ73m3Wl7uhXXOewmrs45F-_PT2v_0qxeFz9Sq6Yg0rHplQmgok2JsQfNMuQu5Khc5EQMOcvUxRQxZg5KSwsMjgMgO86QsFdzcfe3W5h5cxjLPoxfm_NL9Q1iL0S6</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Image Caption Generation in Telugu</title><source>IEEE Xplore All Conference Series</source><creator>Dwarampudi, Jagan Mohan Reddy ; Rampavan, Damerla ; Sathwik, Mandavilli Anu Sandeep ; Reddy, Kaipu Nivas ; Mishra, Vipul Kumar ; Singh, Dilbag ; Agrawal, Apeksha</creator><creatorcontrib>Dwarampudi, Jagan Mohan Reddy ; Rampavan, Damerla ; Sathwik, Mandavilli Anu Sandeep ; Reddy, Kaipu Nivas ; Mishra, Vipul Kumar ; Singh, Dilbag ; Agrawal, Apeksha</creatorcontrib><description>Numerous methods are available to describe images by words and image captioning is a well-examined and researched topic. Further, the subject was much studied to work with English. Our model functions to generate descriptive explanations for general images in Telugu using Deep Learning techniques. Trained on images having Telugu captions, the features of an image are initially extracted using InceptionV3, a pre-trained Convolutional Neural Network model whereas the syntactic and semantic features are processed by using pre-trained fastText word embeddings of Telugu on a Recurrent Neural Network of Long short-term memory architecture. This concept can spread the benefit of well-developed models to native Telugu speakers.</description><identifier>ISBN: 9781665405201</identifier><identifier>ISBN: 1665405201</identifier><identifier>EISSN: 2575-7288</identifier><identifier>EISBN: 9781665405218</identifier><identifier>EISBN: 166540521X</identifier><identifier>DOI: 10.1109/ICACCS51430.2021.9441908</identifier><language>eng</language><publisher>IEEE</publisher><subject>Communication systems ; Computational modeling ; Convolutional Neural Network ; Deep learning ; fastText ; InceptionV3 ; Long short-term memory ; Measurement ; Memory architecture ; Recurrent Neural Network ; Recurrent neural networks ; Semantics</subject><ispartof>2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, Vol.1, p.438-443</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9441908$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9441908$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dwarampudi, Jagan Mohan Reddy</creatorcontrib><creatorcontrib>Rampavan, Damerla</creatorcontrib><creatorcontrib>Sathwik, Mandavilli Anu Sandeep</creatorcontrib><creatorcontrib>Reddy, Kaipu Nivas</creatorcontrib><creatorcontrib>Mishra, Vipul Kumar</creatorcontrib><creatorcontrib>Singh, Dilbag</creatorcontrib><creatorcontrib>Agrawal, Apeksha</creatorcontrib><title>Image Caption Generation in Telugu</title><title>2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)</title><addtitle>ICACCS</addtitle><description>Numerous methods are available to describe images by words and image captioning is a well-examined and researched topic. Further, the subject was much studied to work with English. Our model functions to generate descriptive explanations for general images in Telugu using Deep Learning techniques. Trained on images having Telugu captions, the features of an image are initially extracted using InceptionV3, a pre-trained Convolutional Neural Network model whereas the syntactic and semantic features are processed by using pre-trained fastText word embeddings of Telugu on a Recurrent Neural Network of Long short-term memory architecture. This concept can spread the benefit of well-developed models to native Telugu speakers.</description><subject>Communication systems</subject><subject>Computational modeling</subject><subject>Convolutional Neural Network</subject><subject>Deep learning</subject><subject>fastText</subject><subject>InceptionV3</subject><subject>Long short-term memory</subject><subject>Measurement</subject><subject>Memory architecture</subject><subject>Recurrent Neural Network</subject><subject>Recurrent neural networks</subject><subject>Semantics</subject><issn>2575-7288</issn><isbn>9781665405201</isbn><isbn>1665405201</isbn><isbn>9781665405218</isbn><isbn>166540521X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVj01LAzEURaMiWOr8AjeD-xnfy8fkZSlBa6HgwrouSealRNqxzLQL_72i3bi6Fw5czhWiRmgRwT0s_aP3bwa1glaCxNZpjQ7oQlTOEnad0WAk0qWYSWNNYyXR1T8GeCOqafoAAIXkiGgm7pf7sOXah8OxfA71ggcew28tQ73m3Wl7uhXXOewmrs45F-_PT2v_0qxeFz9Sq6Yg0rHplQmgok2JsQfNMuQu5Khc5EQMOcvUxRQxZg5KSwsMjgMgO86QsFdzcfe3W5h5cxjLPoxfm_NL9Q1iL0S6</recordid><startdate>20210319</startdate><enddate>20210319</enddate><creator>Dwarampudi, Jagan Mohan Reddy</creator><creator>Rampavan, Damerla</creator><creator>Sathwik, Mandavilli Anu Sandeep</creator><creator>Reddy, Kaipu Nivas</creator><creator>Mishra, Vipul Kumar</creator><creator>Singh, Dilbag</creator><creator>Agrawal, Apeksha</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20210319</creationdate><title>Image Caption Generation in Telugu</title><author>Dwarampudi, Jagan Mohan Reddy ; Rampavan, Damerla ; Sathwik, Mandavilli Anu Sandeep ; Reddy, Kaipu Nivas ; Mishra, Vipul Kumar ; Singh, Dilbag ; Agrawal, Apeksha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i118t-d35a03b7cce1d04e2af6afb39bec8e0ff2c6bcb1bfea34270e09ea01e9ef0c1d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Communication systems</topic><topic>Computational modeling</topic><topic>Convolutional Neural Network</topic><topic>Deep learning</topic><topic>fastText</topic><topic>InceptionV3</topic><topic>Long short-term memory</topic><topic>Measurement</topic><topic>Memory architecture</topic><topic>Recurrent Neural Network</topic><topic>Recurrent neural networks</topic><topic>Semantics</topic><toplevel>online_resources</toplevel><creatorcontrib>Dwarampudi, Jagan Mohan Reddy</creatorcontrib><creatorcontrib>Rampavan, Damerla</creatorcontrib><creatorcontrib>Sathwik, Mandavilli Anu Sandeep</creatorcontrib><creatorcontrib>Reddy, Kaipu Nivas</creatorcontrib><creatorcontrib>Mishra, Vipul Kumar</creatorcontrib><creatorcontrib>Singh, Dilbag</creatorcontrib><creatorcontrib>Agrawal, Apeksha</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dwarampudi, Jagan Mohan Reddy</au><au>Rampavan, Damerla</au><au>Sathwik, Mandavilli Anu Sandeep</au><au>Reddy, Kaipu Nivas</au><au>Mishra, Vipul Kumar</au><au>Singh, Dilbag</au><au>Agrawal, Apeksha</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image Caption Generation in Telugu</atitle><btitle>2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)</btitle><stitle>ICACCS</stitle><date>2021-03-19</date><risdate>2021</risdate><volume>1</volume><spage>438</spage><epage>443</epage><pages>438-443</pages><eissn>2575-7288</eissn><isbn>9781665405201</isbn><isbn>1665405201</isbn><eisbn>9781665405218</eisbn><eisbn>166540521X</eisbn><abstract>Numerous methods are available to describe images by words and image captioning is a well-examined and researched topic. Further, the subject was much studied to work with English. Our model functions to generate descriptive explanations for general images in Telugu using Deep Learning techniques. Trained on images having Telugu captions, the features of an image are initially extracted using InceptionV3, a pre-trained Convolutional Neural Network model whereas the syntactic and semantic features are processed by using pre-trained fastText word embeddings of Telugu on a Recurrent Neural Network of Long short-term memory architecture. This concept can spread the benefit of well-developed models to native Telugu speakers.</abstract><pub>IEEE</pub><doi>10.1109/ICACCS51430.2021.9441908</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781665405201 |
| ispartof | 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, Vol.1, p.438-443 |
| issn | 2575-7288 |
| language | eng |
| recordid | cdi_ieee_primary_9441908 |
| source | IEEE Xplore All Conference Series |
| subjects | Communication systems Computational modeling Convolutional Neural Network Deep learning fastText InceptionV3 Long short-term memory Measurement Memory architecture Recurrent Neural Network Recurrent neural networks Semantics |
| title | Image Caption Generation in Telugu |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T00%3A47%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Image%20Caption%20Generation%20in%20Telugu&rft.btitle=2021%207th%20International%20Conference%20on%20Advanced%20Computing%20and%20Communication%20Systems%20(ICACCS)&rft.au=Dwarampudi,%20Jagan%20Mohan%20Reddy&rft.date=2021-03-19&rft.volume=1&rft.spage=438&rft.epage=443&rft.pages=438-443&rft.eissn=2575-7288&rft.isbn=9781665405201&rft.isbn_list=1665405201&rft_id=info:doi/10.1109/ICACCS51430.2021.9441908&rft.eisbn=9781665405218&rft.eisbn_list=166540521X&rft_dat=%3Cieee_CHZPO%3E9441908%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i118t-d35a03b7cce1d04e2af6afb39bec8e0ff2c6bcb1bfea34270e09ea01e9ef0c1d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=9441908&rfr_iscdi=true |