Title: SAMI: SAliency based metrics of Identification for object concealment evaluation
Authors: Gosseaume, Julien
Kpalma, Kidiyo
Ronsin, Joseph
Citation: WSCG 2014: communication papers proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 257-264.
Issue Date: 2014
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf
ISBN: 978-80-86943-71-8
Keywords: utajené hodnocení;utajené metriky;identifikace objektu;segmentace objektu;saliency mapa;lidský vizuální systém
Keywords in different language: concealment evaluation;concealment metrics;object identification;object segmentation;saliency map;human visual system
Abstract in different language: We propose original metrics for estimation of detection and identification of an object in an image. SAMI (SAliency based Metrics of Identification) gives a detection score, called D_score, and an identification score, called I_score, for a Region Of Interest (ROI), basically the footprint area of the object. The contribution of this paper is attractive since SAMI is basically a simple easy-to-implement heuristic method based on existing image processing techniques and some intuition-based postulates. SAMI has initially been conceived to estimate the performance of SCOTT, a “Synthesis COncealment Two-level Texture” algorithm. However, a direct derived application of such metrics could be the evaluation of saliency algorithms for object segmentation: the best saliency algorithm would be the one with the highest SAMI D_score for a given object. Another possible application could be the use of SAMI inside a saliency algorithm, to compute a dense modified saliency map, in which each pixel has the SAMI D_score corresponding to its neigborhood (used as ROI). Such a resulting map would be more robust to saliency noise from small spots.
Rights: @ Václav Skala - UNION Agency
Appears in Collections:WSCG 2014: Communication Papers Proceedings

Files in This Item:
File Description SizeFormat 
Gosseaume.pdfPlný text10,65 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/26421

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.