Název:	SAMI: SAliency based metrics of Identification for object concealment evaluation
Autoři:	Gosseaume, Julien Kpalma, Kidiyo Ronsin, Joseph
Citace zdrojového dokumentu:	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.
Datum vydání:	2014
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	wscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf http://hdl.handle.net/11025/26421
ISBN:	978-80-86943-71-8
Klíčová slova:	utajené hodnocení;utajené metriky;identifikace objektu;segmentace objektu;saliency mapa;lidský vizuální systém
Klíčová slova v dalším jazyce:	concealment evaluation;concealment metrics;object identification;object segmentation;saliency map;human visual system
Abstrakt v dalším jazyce:	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.
Práva:	@ Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	WSCG 2014: Communication Papers Proceedings

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