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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3RN82FP
Repositorysid.inpe.br/sibgrapi/2018/08.28.03.44
Last Update2018:09.03.20.45.30 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2018/08.28.03.44.14
Metadata Last Update2022:06.14.00.09.10 (UTC) administrator
DOI10.1109/SIBGRAPI.2018.00064
Citation KeyDuartePenaAlme:2018:BaAtVi
TitleBag of attributes for video event retrieval
FormatOn-line
Year2018
Access Date2024, Apr. 19
Number of Files1
Size795 KiB
2. Context
Author1 Duarte, Leonardo Assuane
2 Penatti, Otávio Augusto Bizetto
3 Almeida, Jurandy
Affiliation1 Universidade Federal de São Paulo - UNIFESP
2 SAMSUNG Research Institute
3 Universidade Federal de São Paulo - UNIFESP
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressjurandy.almeida@unifesp.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2018-08-28 03:44:14 :: jurandy.almeida@unifesp.br -> administrator ::
2018-09-03 20:37:56 :: administrator -> jurandy.almeida@unifesp.br :: 2018
2018-09-03 20:45:30 :: jurandy.almeida@unifesp.br -> administrator :: 2018
2022-06-14 00:09:10 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsvideo event retrieval
video representation
visual dictionaries
semantics
AbstractIn this paper, we present the Bag-of-Attributes (BoA) model for video representation aiming at video event retrieval. The BoA model is based on a semantic feature space for representing videos, resulting in high-level video feature vectors. For creating a semantic space, i.e., the attribute space, we can train a classifier using a labeled image dataset, obtaining a classification model that can be understood as a high-level codebook. This model is used to map low-level frame vectors into high-level vectors (e.g., classifier probability scores). Then, we apply pooling operations to the frame vectors to create the final bag of attributes for the video. In the BoA representation, each dimension corresponds to one category (or attribute) of the semantic space. Other interesting properties are: compactness, flexibility regarding the classifier, and ability to encode multiple semantic concepts in a single video representation. Our experiments considered the semantic space created by state-of-the-art convolutional neural networks pre-trained on 1000 object categories of ImageNet. Such deep neural networks were used to classify each video frame and then different coding strategies were used to encode the probability distribution from the softmax layer into a frame vector. Next, different pooling strategies were used to combine frame vectors in the BoA representation for a video. Results using BoA were comparable or superior to the baselines in the task of video event retrieval using the EVVE dataset, with the advantage of providing a much more compact representation.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Bag of attributes...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Bag of attributes...
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source Directory Content
59paper.pdf 28/08/2018 00:44 794.7 KiB 
agreement Directory Content
agreement.html 28/08/2018 00:44 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3RN82FP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3RN82FP
Languageen
Target File59paper.pdf
User Groupjurandy.almeida@unifesp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 14
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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