1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3C92QTP |
Repository | sid.inpe.br/sibgrapi/2012/07.10.00.53 |
Last Update | 2012:07.10.00.53.06 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2012/07.10.00.53.06 |
Metadata Last Update | 2022:06.14.00.07.25 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2012.20 |
Citation Key | SilvaFoSchnOliv:2012:MuSpRe |
Title | Multi-Scale Spectral Residual Analysis to Speed up Image Object Detection |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2024, May 03 |
Number of Files | 1 |
Size | 4541 KiB |
|
2. Context | |
Author | 1 Silva Filho, José Grimaldo da 2 Schnitman, Leizer 3 Oliveira, Luciano Rebouças de |
Affiliation | 1 Universidade Federal da Bahia 2 Universidade Federal da Bahia 3 Universidade Federal da Bahia |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | jose.jgrimaldo@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto, MG, Brazil |
Date | 22-25 Aug. 2012 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2012-09-20 16:45:34 :: jose.jgrimaldo@gmail.com -> administrator :: 2012 2022-03-08 21:03:23 :: administrator -> menottid@gmail.com :: 2012 2022-03-10 13:04:26 :: menottid@gmail.com -> administrator :: 2012 2022-06-14 00:07:25 :: administrator -> :: 2012 |
|
3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | multi-scale spectral residue saliency person detection |
Abstract | Accuracy in image object detection has been usually achieved at the expense of much computational load. Therefore a trade-off between detection performance and fast execution commonly represents the ultimate goal of an object detector in real life applications. In this present work, we propose a novel method toward that goal. The proposed method was grounded on a multi-scale spectral residual (MSR) analysis for saliency detection. Compared to a regular sliding window search over the images, in our experiments, MSR was able to reduce by 75% (in average) the number of windows to be evaluated by an object detector. The proposed method was thoroughly evaluated over a subset of LabelMe dataset (person images), improving detection performance in most cases. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Multi-Scale Spectral Residual... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Multi-Scale Spectral Residual... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
|
4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3C92QTP |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C92QTP |
Language | en |
Target File | PID2440145.pdf |
User Group | jose.jgrimaldo@gmail.com |
Visibility | shown |
|
5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SL8GS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.15.03.31 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
|
6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage 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 |
|