7.1.11 Region of Interest Detection, ROI

Privitera, C.M.[Claudio M.], Stark, L.W.[Lawrence W.],
Evaluating Image Processing Algorithms that Predict Regions of Interest,
PRL(19), No. 11, 30 September 1998, pp. 1037-1043. 9811
BibRef

Privitera, C.M.[Claudio M.], Stark, L.W.[Lawrence W.],
Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations,
PAMI(22), No. 9, September 2000, pp. 970-982.
IEEE DOI 0010
How to compute interest points that are like human interest points (using eye tracking). 10 different possibilities. BibRef

Marchette, D.J., Solka, J.L., Guidry, R., Green, J.,
The advanced distributed region of interest tool,
PR(31), No. 12, December 1998, pp. 2103-2118.
Elsevier DOI BibRef 9812

di Gesu, V., Valenti, C., Strinati, L.,
Local Operators to Detect Regions of Interest,
PRL(18), No. 11-13, November 1997, pp. 1077-1081. 9806
BibRef

Privitera, C.M., Azzariti, M., Stark, L.W.,
Locating regions-of-interest for the Mars Rover expedition,
JRS(21), No. 17, November 2000, pp. 3327-3347. 0102
BibRef

Heidemann, G.[Gunther],
Focus-of-Attention from Local Color Symmetries,
PAMI(26), No. 7, July 2004, pp. 817-830.
IEEE Abstract. 0406
Extend gray-value based symmetry map (
See also Context-Free Attentional Operators: The Generalized Symmetry Transform. ). Find feature points.
See also Long-Range Saliency of Edge- and Corner-Based Salient Points, The. BibRef

Hua, G.[Gang], Liu, Z.C.[Zi-Cheng], Zhang, Z.Y.[Zheng-You], Wu, Y.[Ying],
Iterative Local-Global Energy Minimization for Automatic Extraction of Objects of Interest,
PAMI(28), No. 10, October 2006, pp. 1701-1706.
IEEE DOI 0609
Combine global with standard local regions. BibRef

Ko, B.C.[Byoung Chul], Nam, J.Y.[Jae-Yeal],
Object-of-interest image segmentation based on human attention and semantic region clustering,
JOSA-A(23), No. 10, October 2006, pp. 2462-2470.
WWW Link. 0610
BibRef

Moreels, P.[Pierre], Perona, P.[Pietro],
Evaluation of Features Detectors and Descriptors Based on 3D Objects,
IJCV(73), No. 3, July 2007, pp. 263-284.
Springer DOI 0703
BibRef
Earlier: ICCV05(I: 800-807).
IEEE DOI 0510
For 3-D, viewpoint change results in major change in features. BibRef

Moreels, P.[Pierre], Perona, P.[Pietro],
A Probabilistic Cascade of Detectors for Individual Object Recognition,
ECCV08(III: 426-439).
Springer DOI 0810
BibRef

Kovacs, L.[Levente], Sziranyi, T.[Tamas],
Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest,
PAMI(29), No. 6, June 2007, pp. 1080-1085.
IEEE DOI 0704
Find the region of interest -- more than just segmentation of the object. BibRef

Kovacs, A.[Andrea], Sziranyi, T.[Tamas],
Improved force field for vector field convolution method,
ICIP11(2853-2856).
IEEE DOI 1201
BibRef

Caron, Y., Makris, P., Vincent, N.,
Use of power law models in detecting region of interest,
PR(40), No. 9, September 2007, pp. 2521-2529.
Elsevier DOI 0705
Region of interest; Zipf law; Inverse Zipf law; Image encoding BibRef

Tahoces, P.G.[Pablo G.], Varela, J.R.[J. Ramon], Lado, M.J.[Maria J.], Souto, M.[Miguel],
Image compression: Maxshift ROI encoding options in JPEG2000,
CVIU(109), No. 2, February 2008, pp. 139-145.
Elsevier DOI 0711
Image coding; JPEG2000; Region of interest; Wavelet coding BibRef

Koroutchev, K.[Kostadin], Korutcheva, E.[Elka],
Detecting the most unusual part of two- and three-dimensional digital images,
PR(42), No. 8, August 2009, pp. 1684-1692.
Elsevier DOI 0904
BibRef
Earlier:
Detecting the Most Unusual Part of a Digital Image,
IWCIA08(xx-yy).
Springer DOI 0804
Image processing; Image statistics; Image recognition BibRef

Chi, M.C.[Ming-Chieh], Yeh, C.H.[Chia-Hung], Chen, M.J.[Mei-Juan],
Robust Region-of-Interest Determination Based on User Attention Model Through Visual Rhythm Analysis,
CirSysVideo(19), No. 7, July 2009, pp. 1025-1038.
IEEE DOI 0909
BibRef

Antúnez, E.[Esther], Marfil, R.[Rebeca], Bandera, A.[Antonio],
Combining boundary and region features inside the combinatorial pyramid for topology-preserving perceptual image segmentation,
PRL(33), No. 16, 1 December 2012, pp. 2245-2253.
Elsevier DOI 1210
Image segmentation; Contour detection; Irregular pyramid; Combinatorial maps; Perceptual segmentation BibRef

Antúnez, E.[Esther], Marfil, R.[Rebeca], Bandera, J.P.[Juan P.], Bandera, A.[Antonio],
Part-based object detection into a hierarchy of image segmentations combining color and topology,
PRL(34), No. 7, 1 May 2013, pp. 744-753.
Elsevier DOI 1303
Map isomorphism; Submap isomorphism; Hierarchical matching; Combinatorial pyramid; Inexact map isomorphism; Object detection BibRef

Marfil, R., Molina-Tanco, L., Bandera, A.[Antonio], Sandoval, F.,
The Construction of Bounded Irregular Pyramids with a Union-Find Decimation Process,
GbRPR07(307-318).
Springer DOI 0706
BibRef

Bandera, A.[Antonio], Marfil, R.[Rebeca],
Incremental Hybrid Approach for Unsupervised Classification: Applications to Visual Landmarks Recognition,
ICIAR10(I: 137-146).
Springer DOI 1006
BibRef

Bandera, A., Antúnez, E., Marfil, R.,
An Adaptive Approach for Affine-Invariant 2D Shape Description,
IbPRIA09(417-424).
Springer DOI 0906
BibRef

Chen, W.T.[Wei-Ta], Liu, W.C.[Wei-Chuan], Chen, M.S.[Ming-Syan],
Adaptive Color Feature Extraction Based on Image Color Distributions,
IP(19), No. 8, August 2010, pp. 2005-2016.
IEEE DOI 1008
BibRef

Tsai, T.H.[Tsung-Han], Lin, C.Y.[Chung-Yuan],
Design of Real-Time Self-Frame-Rate-Control Foreground Detection for Multiple Camera Surveillance System,
IEICE(E94-D), No. 12, December 2011, pp. 2513-2522.
WWW Link. 1112
BibRef

Duan, L.J.[Li-Juan], Wu, C.P.[Chun-Peng], Miao, J.[Jun], Bovik, A.C.,
Visual Conspicuity Index: Spatial Dissimilarity, Distance, and Central Bias,
SPLetters(18), No. 11, November 2011, pp. 690-693.
IEEE DOI 1112
Spatial dissimilarity and distance. BibRef

Liu, J.N.[Jing-Neng], Zeng, G.H.[Gui-Hua], Fan, J.P.[Jian-Ping],
Fast Local Self-Similarity for describing interest regions,
PRL(33), No. 9, 1 July 2012, pp. 1224-1235.
Elsevier DOI 1202
Local Self-Similarity; Fast Local Self-Similarity; SIFT; Region description; Image matching; Object classification BibRef

Liang, Z.[Zhen], Chi, Z.[Zheru], Fu, H.[Hong], Feng, D.D.[David Dagan],
Salient object detection using content-sensitive hypergraph representation and partitioning,
PR(45), No. 11, November 2012, pp. 3886-3901.
Elsevier DOI 1206
Salient object detection; Hypergraph representation; Incremental hypergraph partitioning; Discriminant color channel selection; Potential Region-Of-Interest (p-ROI) extraction BibRef

Zhang, L.M.[Lu-Ming], Song, M.L.[Ming-Li], Zhao, Q., Liu, X.[Xiao], Bu, J.J.[Jia-Jun], Chen, C.[Chun],
Probabilistic Graphlet Transfer for Photo Cropping,
IP(22), No. 2, February 2013, pp. 802-815.
IEEE DOI 1302
BibRef

Zhang, L.B.[Li-Bao], Qiu, B.C.[Bing-Chang], Yu, X.C.[Xian-Chuan], Xu, J.D.[Jin-Dong],
Multi-Scale Hybrid Saliency Analysis for Region of Interest Detection in Very High Resolution Remote Sensing Images,
IVC(35), No. 1, 2015, pp. 1-13.
Elsevier DOI 1503
BibRef

Liu, X.[Xiao], Song, M.L.[Ming-Li], Tao, D.C.[Da-Cheng], Bu, J.J.[Jia-Jun], Chen, C.[Chun],
Random Geometric Prior Forest for Multiclass Object Segmentation,
IP(24), No. 10, October 2015, pp. 3060-3070.
IEEE DOI 1507
Geometry BibRef

Liu, X.[Xiao], Tao, D.C.[Da-Cheng], Song, M.L.[Ming-Li], Ruan, Y.[Ying], Chen, C.[Chun], Bu, J.J.[Jia-Jun],
Weakly Supervised Multiclass Video Segmentation,
CVPR14(57-64)
IEEE DOI 1409
label transfer BibRef

Zhang, L.M.[Lu-Ming], Song, M.L.[Ming-Li], Liu, Z.C.[Zi-Cheng], Liu, X.[Xiao], Bu, J.J.[Jia-Jun], Chen, C.[Chun],
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation,
CVPR13(1908-1915)
IEEE DOI 1309
graphlet; high-order; weakly segmentation BibRef

Zhang, L.M.[Lu-Ming], Gao, Y.[Yue], Xia, Y.J.[Ying-Jie], Lu, K.[Ke], Shen, J.L.[Jia-Lie], Ji, R.R.[Rong-Rong],
Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation,
MultMed(16), No. 2, February 2014, pp. 470-479.
IEEE DOI 1404
Gaussian processes BibRef

Rafiee, G., Dlay, S.S., Woo, W.L.,
Region-of-interest extraction in low depth of field images using ensemble clustering and difference of Gaussian approaches,
PR(46), No. 10, October 2013, pp. 2685-2699.
Elsevier DOI 1306
Low depth-of-field; Difference of Gaussian method; Ensemble clustering; Expectation-maximization algorithm; Region-of-interest extraction BibRef

Gao, S., Duan, L., Tsang, I.W.,
DEFEATnet: A Deep Conventional Image Representation for Image Classification,
CirSysVideo(26), No. 3, March 2016, pp. 494-505.
IEEE DOI 1603
Dictionaries BibRef

Melacci, S.[Stefano], Gori, M.[Marco],
Learning with Box Kernels,
PAMI(35), No. 11, 2013, pp. 2680-2692.
IEEE DOI 1309
Box kernels BibRef

Gori, M.[Marco], Lippi, M.[Marco], Maggini, M.[Marco], Melacci, S.[Stefano], Pelillo, M.[Marcello],
En Plein Air Visual Agents,
CIAP15(II:697-709).
Springer DOI 1511
BibRef
Earlier: A1, A4, A2, A3, Only:
Information Theoretic Learning for Pixel-Based Visual Agents,
ECCV12(VI: 864-875).
Springer DOI 1210
pixel level extraction of high level features. BibRef

Melacci, S.[Stefano], Lippi, M.[Marco], Gori, M.[Marco],
Information-Based Learning of Deep Architectures for Feature Extraction,
CIAP13(II:101-110).
Springer DOI 1309
BibRef

Gonzalez-Diaz, I., Baz-Hormigos, C.E., Diaz-de-Maria, F.,
A Generative Model for Concurrent Image Retrieval and ROI Segmentation,
MultMed(16), No. 1, January 2014, pp. 169-183.
IEEE DOI 1402
image matching BibRef

Silva, G.[Grimaldo], Schnitman, L.[Leizer], Oliveira, L.[Luciano],
Constraining image object search by multi-scale spectral residue analysis,
PRL(39), No. 1, 2014, pp. 31-38.
Elsevier DOI 1402
Fast object detection BibRef

Fu, H.Z.[Hua-Zhu], Cao, X.C.[Xiao-Chun], Tu, Z.W.[Zhuo-Wen], Lin, D.D.[Dong-Dai],
Symmetry Constraint for Foreground Extraction,
Cyber(44), No. 5, May 2014, pp. 644-654.
IEEE DOI 1405
feature extraction BibRef

Jung, C.H.[Chan-Ho], Kim, W.J.[Won-Jun], Yoo, S.W.[Seung-Woo], Kim, C.[Changick],
A novel monochromatic cue for detecting regions of visual interest,
IVC(32), No. 6-7, 2014, pp. 405-413.
Elsevier DOI 1406
Regions of interest (ROIs) BibRef

Thirugnanam, M.[Mythili], Anouncia, S.M.[S. Margret],
A novel approach for automatic region of interest extraction in industrial radiographic images,
IJCVR(4), No. 3, 2014, pp. 235-246.
DOI Link 1407
BibRef

Cheng, G.C.[Guang-Chun], Buckles, B.P.[Bill P.],
A nonparametric approach to region-of-interest detection in wide-angle views,
PRL(49), No. 1, 2014, pp. 24-32.
Elsevier DOI 1410
Region of interest BibRef

Han, J.W.[Jun-Wei], Wang, D.Y.[Dong-Yang], Shao, L.[Ling], Qian, X.L.[Xiao-Liang], Cheng, G.[Gong], Han, J.G.[Jun-Gong],
Image visual attention computation and application via the learning of object attributes,
MVA(25), No. 7, October 2014, pp. 1671-1683.
Springer DOI 1410
BibRef

Everts, I.[Ivo], van Gemert, J.C.[Jan C.], Mensink, T., Gevers, T.[Theo],
Robustifying Descriptor Instability Using Fisher Vectors,
IP(23), No. 12, December 2014, pp. 5698-5706.
IEEE DOI 1412
BibRef
Earlier: A1, A2, A4, Only:
Per-patch Descriptor Selection Using Surface and Scene Properties,
ECCV12(VI: 172-186).
Springer DOI 1210
image classification BibRef

Kmiec, M.[Marcin], Glowacz, A.[Andrzej],
Object detection in security applications using dominant edge directions,
PRL(52), No. 1, 2015, pp. 72-79.
Elsevier DOI 1412
Dominant edge orientation BibRef

Huang, M.M.[Ming-Ming], Mu, Z.C.[Zhi-Chun], Zeng, H.[Hui], Huang, S.[Shuai],
Local image region description using orthogonal symmetric local ternary pattern,
PRL(54), No. 1, 2015, pp. 56-62.
Elsevier DOI 1502
Local image descriptor BibRef

Nguyen, T.N.[Thao-Ngoc], Miyata, K.[Kazunori],
Multi-scale region perpendicular local binary pattern: An effective feature for interest region description,
VC(31), No. 4, April 2015, pp. 391-406.
WWW Link. 1503
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Alers, H.[Hani], Redi, J.A.[Judith A.], Heynderickx, I.[Ingrid],
Quantifying the importance of preserving video quality in visually important regions at the expense of background content,
SP:IC(32), No. 1, 2015, pp. 69-80.
Elsevier DOI 1503
Region of interest BibRef

Sinduja, S., Yap, K.H.[Kim-Hui], Zhang, D.J.[Da-Jiang],
Bijective Weighted Kernel with Connected Component Analysis for Visual Object Search,
SPLetters(22), No. 10, October 2015, pp. 1604-1608.
IEEE DOI 1506
computational complexity BibRef

Li, Y.L.[Ya-Li], Wang, S.J.[Sheng-Jin], Tian, Q.[Qi], Ding, X.Q.[Xiao-Qing],
Feature representation for statistical-learning-based object detection: A review,
PR(48), No. 11, 2015, pp. 3542-3559.
Elsevier DOI 1506
Object detection BibRef

Karaoglu, S., Liu, Y., Gevers, T.,
Detect2Rank: Combining Object Detectors Using Learning to Rank,
IP(25), No. 1, January 2016, pp. 233-248.
IEEE DOI 1601
Computer vision BibRef

Desolneux, A.[Agnès],
When the a contrario approach becomes generative,
IJCV(116), No. 1, January 2016, pp. 46-65.
Springer DOI 1601
I.e. is the geometric arrangement likely to be random. BibRef

Zhu, X.X.[Xiang-Xin], Vondrick, C.[Carl], Fowlkes, C.C.[Charless C.], Ramanan, D.[Deva],
Do We Need More Training Data?,
IJCV(119), No. 1, August 2016, pp. 76-92.
Springer DOI 1608
BibRef
Earlier: A1, A2, A4, A3:
Do We Need More Training Data or Better Models for Object Detection?,
BMVC12(80).
DOI Link 1301
BibRef

Chen, J.[Jie], Zhang, L.B.[Li-Bao],
Joint Multi-Image Saliency Analysis for Region of Interest Detection in Optical Multispectral Remote Sensing Images,
RS(8), No. 6, 2016, pp. 461.
DOI Link 1608
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Zhang, L.B.[Li-Bao], Sun, Q.Y.[Qiao-Yue], Sun, Y.[Yang],
Visual Saliency Analysis for Common Region of Interest Detection in Multiple Remote Sensing Images,
ICIP18(2316-2320)
IEEE DOI 1809
Saliency detection, Remote sensing, Feature extraction, Visualization, Analytical models, Computational modeling, feature clustering BibRef

Serrano, J.A.R.[Jose A. Rodriguez], Larlus, D.[Diane], Dai, Z.,
Data-Driven Detection of Prominent Objects,
PAMI(38), No. 10, October 2016, pp. 1969-1982.
IEEE DOI 1609
BibRef
Earlier: A1, A2, Only:
Predicting an Object Location Using a Global Image Representation,
ICCV13(1729-1736)
IEEE DOI 1403
Fisher vectors. Detection of prominent objects in images. BibRef

Ma, Y.[Yi], Han, J.[Jin], Liu, J.Q.[Jia-Qi], Zhang, Y.[Yi], Bai, L.F.[Lian-Fa],
A Multi-Scaled Hierarchical Structure Model for Multispectral Image Detection,
SP:IC(47), No. 1, 2016, pp. 193-206.
Elsevier DOI 1610
Multispectral images BibRef

Lee, B.[Byungjae], Erdenee, E.[Enkhbayar], Jin, S.G.[Song-Guo], Rhee, P.K.[Phill Kyu],
Efficient object detection using convolutional neural network-based hierarchical feature modeling,
SIViP(10), No. 8, November 2016, pp. 1503-1510.
Springer DOI 1610
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Sharma, K.U.[Kartik Umesh], Thakur, N.V.[Nileshsingh V.],
A review and an approach for object detection in images,
IJCVR(7), No. 1/2, 2017, pp. 196-237.
DOI Link 1701
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Mitra, A.[Adway], Biswas, S.[Soma], Bhattacharyya, C.[Chiranjib],
Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization,
PAMI(39), No. 3, March 2017, pp. 430-443.
IEEE DOI 1702
Bayes methods BibRef

Anoop, K.R., Mitra, A.[Adway], Bonde, U.[Ujwal], Bhattacharyya, C.[Chiranjib], Ramakrishnan, K.R.,
Covariance profiles: A signature representation for object sets,
ICPR12(2541-2544).
WWW Link. 1302
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Zhang, L.[Libao], Wang, S.[Shiyi],
Region-of-Interest Extraction Based on Local-Global Contrast Analysis and Intra-Spectrum Information Distribution Estimation for Remote Sensing Images,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Zhang, Z.M.[Zi-Ming], Liu, Y.[Yun], Chen, X.[Xi], Zhu, Y.J.[Yan-Jun], Cheng, M.M.[Ming-Ming], Saligrama, V.[Venkatesh], Torr, P.H.S.[Philip H.S.],
Sequential Optimization for Efficient High-Quality Object Proposal Generation,
PAMI(40), No. 5, May 2018, pp. 1209-1223.
IEEE DOI 1804
BING+ Image segmentation, Object detection, Object recognition, Probabilistic logic, Proposals, sequential minimization BibRef

Cheng, M.M.[Ming-Ming], Zhang, Z.M.[Zi-Ming], Lin, W.Y.[Wen-Yan], Torr, P.H.S.[Philip H.S.],
BING: Binarized Normed Gradients for Objectness Estimation at 300fps,
CVPR14(3286-3293)
IEEE DOI 1409
Objectness BibRef

Liu, B.[Bin], Zhang, X.H.[Xiao-Hui], Wang, M.Z.[Ming-Zhe], Li, F.Q.[Feng-Qi],
An automatic and serialized ROI extraction framework for the slow-motion video frames,
JVCIR(55), 2018, pp. 270-318.
Elsevier DOI 1809
Slow-motion video, Serialized extraction, Color frame image, Automatic seed point generation BibRef

Ding, J.[Jian], Xue, N.[Nan], Long, Y.[Yang], Xia, G.S.[Gui-Song], Lu, Q.K.[Qi-Kai],
Learning RoI Transformer for Oriented Object Detection in Aerial Images,
CVPR19(2844-2853).
IEEE DOI 2002
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Ma, J., Zhang, L., Sun, Y.,
ROI Extraction Based on Multiview Learning and Attention Mechanism for Unbalanced Remote Sensing Data Set,
GeoRS(58), No. 9, September 2020, pp. 6210-6223.
IEEE DOI 2008
Feature extraction, Remote sensing, Supervised learning, Data mining, Visualization, Image segmentation, Semantics, saliency analysis BibRef

Pan, H.D.[Hao-Dong], Jiang, J.[Jue], Chen, G.F.[Guang-Feng],
TDFSSD: Top-Down Feature Fusion Single Shot MultiBox Detector,
SP:IC(89), 2020, pp. 115987.
Elsevier DOI 2010
Convolutional neural networks, Object detection, SSD, Feature fusion BibRef

Shi, Y.Z.[Yan-Zi], Li, J.J.[Jiao-Jiao], Zheng, Y.X.[Yu-Xuan], Xi, B.[Bobo], Li, Y.S.[Yun-Song],
Hyperspectral Target Detection With RoI Feature Transformation and Multiscale Spectral Attention,
GeoRS(59), No. 6, June 2021, pp. 5071-5084.
IEEE DOI 2106
Feature extraction, Object detection, Hyperspectral imaging, Detectors, Redundancy, Training, Feature loss, spatial and spectral feature of interest (SSFI) BibRef

Li, L.[Liang], Zhang, X.L.[Xiao-Ling], Tian, B.[Bokun], Wang, C.[Chen], Pu, L.M.[Li-Ming], Shi, J.[Jun], Wei, S.J.[Shun-Jun],
A Flexible Region of Interest Extraction Algorithm with Adaptive Threshold for 3-D Synthetic Aperture Radar Images,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Fan, Z.J.[Zhong-Jie], Liu, Q.[Qiong],
Adaptive region-aware feature enhancement for object detection,
PR(124), 2022, pp. 108437.
Elsevier DOI 2203
Object detection, Feature enhancement, Adaptive region-aware FPN, Adaptive region-aware RoI feature fusion BibRef

Rai, A.[Abhinav], Sener, F.[Fadime], Yao, A.[Angela],
Transformed ROIs for capturing visual transformations in videos,
CVIU(224), 2022, pp. 103558.
Elsevier DOI 2211
Action recognition, Video analysis, Convolutional neural networks BibRef

Zheng, Z.[Zishuo], Lin, C.Y.[Chun-Yu], Nie, L.[Lang], Liao, K.[Kang], Zhao, Y.[Yao],
Bi-projection for 360° image object detection bridged by RoI Searcher,
JVCIR(89), 2022, pp. 103660.
Elsevier DOI 2212
360°image, Object detection, Equirectangular, Cubemap BibRef

Yang, J.[Jian], Wang, H.X.[Hai-Xin], Taniguchi, I.[Ittetsu], Fan, Y.[Yibo], Zhou, J.J.[Jin-Jia],
aVCSR: Adaptive Video Compressive Sensing Using Region-of-Interest Detection in the Compressed Domain,
MultMedMag(31), No. 1, January 2024, pp. 19-32.
IEEE DOI 2404
Image reconstruction, Compressed sensing, Sensors, Video sequences, Matching pursuit algorithms, Transforms, Surveillance, Encoding, Channel allocation BibRef

Boschi, M.[Marco], di Stefano, L.[Luigi], Alessandrini, M.[Martino],
Saffire: System for Autonomous Feature Filtering and Intelligent ROI Estimation,
IML20(552-565).
Springer DOI 2103
BibRef

Zhang, L., Liu, Y.,
Region Of Interest Extraction Based On Co-Saliency Analysis And Feedback Strategy For Remote Sensing Images,
ICIP20(41-45)
IEEE DOI 2011
Q measurement, Remote sensing, Indexes, Object extraction, region of interest, inter-saliency, intra-saliency, feedback strategy BibRef

Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., Guadarrama, S., Murphy, K.,
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors,
CVPR17(3296-3297)
IEEE DOI 1711
Agriculture, Computer architecture, Detectors, Feature extraction, Mathematical model, Object detection, Proposals BibRef

García-Ramírez, J.[Jesús], Olvera-López, J.A.[J. Arturo], Olmos-Pineda, I.[Ivan], Martín-Ortíz, M.[Manuel],
ROIs Segmentation in Facial Images Based on Morphology and Density Concepts,
MCPR17(169-178).
Springer DOI 1706
BibRef

Lv, W., Wang, S., Zhang, L.,
Saliency analysis and region of interest detection via orientation information and contrast feature in remote sensing images,
VCIP16(1-4)
IEEE DOI 1701
Biological system modeling BibRef

Liu, Z., Li, Z., Zhang, J., Liu, L.,
Euclidean and Hamming Embedding for Image Patch Description with Convolutional Networks,
Robust16(1145-1151)
IEEE DOI 1612
BibRef

Zhang, L., Liang, X., Chen, J.,
Saliency analysis and region-of-interest extraction for satellite images by biological sparse modeling,
ICIP16(2757-2761)
IEEE DOI 1610
Decision support systems BibRef

Chen, J.S.[Jian-Sheng], Bai, G.C.[Gao-Cheng], Liang, S.H.[Shao-Heng], Li, Z.Q.[Zheng-Qin],
Automatic Image Cropping: A Computational Complexity Study,
CVPR16(507-515)
IEEE DOI 1612
BibRef

Mesquita, R.G., Mello, C.A.B., Castilho, P.L.,
Visual search guided by an efficient top-down attention approach,
ICIP16(679-683)
IEEE DOI 1610
Arrays BibRef

Berg, A.C.[Alexander C.], Berg, T.L.[Tamara L.], Daume, H.[Hal], Dodge, J.[Jesse], Goyal, A.[Amit], Han, X.F.[Xu-Feng], Mensch, A.[Alyssa], Mitchell, M.[Margaret], Sood, A.[Aneesh], Stratos, K.[Karl], Yamaguchi, K.[Kota],
Understanding and predicting importance in images,
CVPR12(3562-3569).
IEEE DOI 1208
BibRef

Chepushtanova, S.[Sofya], Kirby, M.[Michael], Peterson, C.[Chris], Ziegelmeier, L.[Lori],
Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies,
CTIC16(228-239).
Springer DOI 1608
find a shape in complex data set. BibRef

Bazzani, L.[Loris], Bergamo, A.[Alessandra], Anguelov, D.[Dragomir], Torresani, L.[Lorenzo],
Self-taught object localization with deep networks,
WACV16(1-9)
IEEE DOI 1606
Detectors. CNN whole image recognition to locaize. BibRef

Yoo, D.G.[Dong-Geun], Park, S.[Sunggyun], Lee, J.Y.[Joon-Young], Paek, A.S.[Anthony S.], Kweon, I.S.[In So],
AttentionNet: Aggregating Weak Directions for Accurate Object Detection,
ICCV15(2659-2667)
IEEE DOI 1602
object detection problem as an iterative classification problem 8 layer network. BibRef

Wang, G.[Gang], Gao, K.[Ke], Zhang, Y.D.[Yong-Dong], Li, J.T.[Jin-Tao],
Efficient Perceptual Region Detector Based on Object Boundary,
MMMod16(II: 66-78).
Springer DOI 1601
BibRef

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UGV: User Generated Video BibRef

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ICIP15(1374-1378)
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Konishi, Y.[Yoshinori], Ijiri, Y.[Yoshihisa], Suwa, M.[Masaki], Kawade, M.[Masato],
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IEEE DOI 1510
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Ren, H.Y.[Hao-Yu], Li, Z.N.[Ze-Nian],
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IEEE DOI 1510
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CVPR15(1619-1628)
IEEE DOI 1510
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IEEE DOI 1510
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IEEE DOI 1510
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Kurokawa, T.[Takato], Yamauchi, Y.J.[Yu-Ji], Yamashita, T.[Takayoshi], Fujiyoshi, H.[Hironobu],
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MVA15(234-237)
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ICPR14(604-607)
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localizing objects in both (bounding box) BibRef

Neves, A.J.R.[António J. R.], Trifan, A.[Alina], Cunha, B.[Bernardo],
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which of the oversegmented regions are part of the object of interest. BibRef

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ICIP13(3113-3117)
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Object detection; Synthetic training BibRef

Satpathy, A.[Amit], Jiang, X.D.[Xu-Dong], Eng, H.L.[How-Lung],
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ICIP13(2738-2742)
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extended histogram of gradients BibRef

Ono, Y.[Yuki], Junaidi, A.R.[Abdul Raziz], Kuroda, T.[Tadahiro],
Adaptive window search using semantic texton forests for real-time object detection,
ICIP13(3293-3296)
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adaptive window search;object detection;object map;real-time BibRef

Knauer, U.[Uwe], Seiffert, U.[Udo],
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ICIP13(3297-3301)
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combination;fusion;image analysis;object detection BibRef

Rubinstein, M.[Michael], Joulin, A.[Armand], Kopf, J.[Johannes], Liu, C.[Ce],
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Chen, G.[Guang], Ding, Y.Y.[Yuan-Yuan], Xiao, J.[Jing], Han, T.X.[Tony X.],
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Raj, K.C.E.S.[Katari Clement Emmanuel Sanjay], Venkataraman, S.[Sarma], Varadan, G.[Geeta],
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Dorkó, G.[Gyuri], Schmid, C.[Cordelia],
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ECCV06(IV: 504-516).
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BibRef
Earlier:
Object Class Recognition Using Discriminative Local Features,
INRIARR-5497, 2005.
HTML Version. BibRef
Earlier:
Selection of scale-invariant parts for object class recognition,
ICCV03(634-640).
IEEE DOI 0311
Interest feature detection. BibRef

Lazebnik, S.[Svetlana], Schmid, C.[Cordelia], Ponce, J.[Jean],
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CLOR06(423-442).
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Earlier:
A Maximum Entropy Framework for Part-Based Texture and Object Recognition,
ICCV05(I: 832-838).
IEEE DOI
PDF File. 0510
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Earlier:
Semi-Local Affine Parts for Object Recognition,
BMVC04(xx-yy).
HTML Version.
PDF File. 0508

See also Sparse Texture Representation Using Local Affine Regions, A.
See also 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints. For data:
See also University of Illinois Datasets. BibRef

Chai, D.,
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ICIP00(Vol II: 923-926).
IEEE DOI 0008
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Salient Regions, Saliencey for Regions .