Simple metrics to evaluate the concealment of an object: SAMI
International audience We propose original metrics for estimation of detection and identification of an object in an image: SAMI. SAMI (SAliency based Metrics of Identification) gives a detection score, called D_score, and an identification score, called I_score, for the detection evaluation and the...
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ftinsarennhal:oai:HAL:hal-01116074v1 2023-05-15T18:10:18+02:00 Simple metrics to evaluate the concealment of an object: SAMI Gosseaume, Julien Kpalma, Kidiyo Ronsin, Joseph Institut d'Électronique et des Technologies du numéRique (IETR) Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) Prof. Vaclav Skala Plzen, Czech Republic 2014-06-02 https://hal.science/hal-01116074 https://hal.science/hal-01116074/document https://hal.science/hal-01116074/file/SAMI_28042014.pdf en eng HAL CCSD hal-01116074 https://hal.science/hal-01116074 https://hal.science/hal-01116074/document https://hal.science/hal-01116074/file/SAMI_28042014.pdf info:eu-repo/semantics/OpenAccess 22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision https://hal.science/hal-01116074 22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Prof. Vaclav Skala, Jun 2014, Plzen, Czech Republic object segmentation saliency map Human Visual System concealment metrics Concealment evaluation object identification [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing info:eu-repo/semantics/conferenceObject Conference papers 2014 ftinsarennhal 2023-03-15T18:19:23Z International audience We propose original metrics for estimation of detection and identification of an object in an image: SAMI. SAMI (SAliency based Metrics of Identification) gives a detection score, called D_score, and an identification score, called I_score, for the detection evaluation and the identification evaluation, respectively, for a Region Of Interest (ROI), basically the footprint area of the object. The contribution of this paper is important 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 segmentation 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. Conference Object sami INSA Rennes HAL (Institut National des Sciences Appliquées) |
institution |
Open Polar |
collection |
INSA Rennes HAL (Institut National des Sciences Appliquées) |
op_collection_id |
ftinsarennhal |
language |
English |
topic |
object segmentation saliency map Human Visual System concealment metrics Concealment evaluation object identification [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
spellingShingle |
object segmentation saliency map Human Visual System concealment metrics Concealment evaluation object identification [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Gosseaume, Julien Kpalma, Kidiyo Ronsin, Joseph Simple metrics to evaluate the concealment of an object: SAMI |
topic_facet |
object segmentation saliency map Human Visual System concealment metrics Concealment evaluation object identification [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
description |
International audience We propose original metrics for estimation of detection and identification of an object in an image: SAMI. SAMI (SAliency based Metrics of Identification) gives a detection score, called D_score, and an identification score, called I_score, for the detection evaluation and the identification evaluation, respectively, for a Region Of Interest (ROI), basically the footprint area of the object. The contribution of this paper is important 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 segmentation 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. |
author2 |
Institut d'Électronique et des Technologies du numéRique (IETR) Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) Prof. Vaclav Skala |
format |
Conference Object |
author |
Gosseaume, Julien Kpalma, Kidiyo Ronsin, Joseph |
author_facet |
Gosseaume, Julien Kpalma, Kidiyo Ronsin, Joseph |
author_sort |
Gosseaume, Julien |
title |
Simple metrics to evaluate the concealment of an object: SAMI |
title_short |
Simple metrics to evaluate the concealment of an object: SAMI |
title_full |
Simple metrics to evaluate the concealment of an object: SAMI |
title_fullStr |
Simple metrics to evaluate the concealment of an object: SAMI |
title_full_unstemmed |
Simple metrics to evaluate the concealment of an object: SAMI |
title_sort |
simple metrics to evaluate the concealment of an object: sami |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.science/hal-01116074 https://hal.science/hal-01116074/document https://hal.science/hal-01116074/file/SAMI_28042014.pdf |
op_coverage |
Plzen, Czech Republic |
genre |
sami |
genre_facet |
sami |
op_source |
22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision https://hal.science/hal-01116074 22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Prof. Vaclav Skala, Jun 2014, Plzen, Czech Republic |
op_relation |
hal-01116074 https://hal.science/hal-01116074 https://hal.science/hal-01116074/document https://hal.science/hal-01116074/file/SAMI_28042014.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
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1766183075097608192 |