7.1.8 Region of Interest Detection, ROI, Salient Regions

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 Link 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.
WWW Version. 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

Mikolajczyk, K.[Krystian], Tuytelaars, T.[Tinne], Schmid, C., Zisserman, A., Matas, J.G., Schaffalitzky, F., Kadir, T., Van Gool, L.J.,
A Comparison of Affine Region Detectors,
IJCV(65), No. 1-2, November 2005, pp. 43-72.
Springer DOI Link 0604
Six types of detectors are included: detectors based on affine normalization around Harris ( See also Scale and Affine Invariant Interest Point Detectors. ); ( See also Automated location matching in movies. ) and Hessian points ( See also Scale and Affine Invariant Interest Point Detectors. ), MSER: Maximally stable extremal regions ( See also Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. ); an edge-based region detector (Tuytelaars and Van Gool, 1999) and Intensity extrema ( See also Matching Widely Separated Views Based on Affine Invariant Regions. ), Salient regions ( See also Affine Invariant Salient Region Detector, An. ). 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 Link 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 Version. 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 Link 0703
BibRef
Earlier: ICCV05(I: 800-807).
IEEE DOI Link 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 Link 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 Link 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 Link 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.
WWW Version. 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.
WWW Version. 0711
Image coding; JPEG2000; Region of interest; Wavelet coding BibRef

Heikkilä, M.[Marko], Pietikäinen, M.[Matti], Schmid, C.[Cordelia],
Description of interest regions with local binary patterns,
PR(42), No. 3, March 2009, pp. 425-436.
WWW Version. 0811
BibRef
Earlier:
Description of Interest Regions with Center-Symmetric Local Binary Patterns,
ICCVGIP06(58-69).
Springer DOI Link 0612
Region description; Region detection; Local binary patterns; SIFT; Image matching; Object recognition 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 Link
WWW Version. 0904
BibRef
Earlier:
Detecting the Most Unusual Part of a Digital Image,
IWCIA08(xx-yy).
Springer DOI Link 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 Link 0909
BibRef

Vazquez-Martin, R., Marfil, R., Nunez, P., Bandera, A., Sandoval, F.,
A novel approach for salient image regions detection and description,
PRL(30), No. 16, 1 December 2009, pp. 1464-1476,.
Elsevier DOI Link
WWW Version. 0911
Visual landmarks; Irregular pyramids; Salient image regions detection; Kernel-based description BibRef

Marfil, R., Molina-Tanco, L., Bandera, A., Sandoval, F.,
The Construction of Bounded Irregular Pyramids with a Union-Find Decimation Process,
GbRPR07(307-318).
Springer DOI Link 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 Link 1006
BibRef

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

Seo, H.J.[Hae Jong], Milanfar, P.[Peyman],
Training-Free, Generic Object Detection Using Locally Adaptive Regression Kernels,
PAMI(32), No. 9, September 2010, pp. 1688-1704.
IEEE DOI Link 1008
BibRef
Earlier:
Using local regression kernels for statistical object detection,
ICIP08(2380-2383).
IEEE DOI Link 0810
Detection-locaization to search without training. Single example of the object of interest to find similar matches. Local regression kernels. 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 Link 1008
BibRef

Kimmel, R., Zhang, C.[Cuiping], Bronstein, A.M.[Alexander M.], Bronstein, M.M.[Michael M.],
Are MSER Features Really Interesting?,
PAMI(33), No. 11, November 2011, pp. 2316-2320.
IEEE DOI Link 1110
MSER (Maximally Stable Extremal Region) MSER prefers round regions. Alternative definition to better capture features. 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 Version. 1112
BibRef

Duan, L.[Lijuan], 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 Link 1112
Spatial dissimilarity and distance. BibRef

Luo, Y.[Ye], Yuan, J.S.[Jun-Song], Xue, P.[Ping], Tian, Q.[Qi],
Saliency Density Maximization for Efficient Visual Objects Discovery,
CirSysVideo(21), No. 12, December 2011, pp. 1822-1834.
IEEE DOI Link 1112
BibRef
Earlier:
Saliency Density Maximization for Object Detection and Localization,
ACCV10(III: 396-408).
Springer DOI Link 1011
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 Link
WWW Version. 1202
Local Self-Similarity; Fast Local Self-Similarity; SIFT; Region description; Image matching; Object classification BibRef

Bao, H.[Hong], Xu, D.[De], Tang, Y.J.[Ying-Jun],
Global-Context Based Salient Region Detection in Nature Images,
IEICE(E95-D), No. 5, May 2012, pp. 1556-1559.
WWW Version. 1202
BibRef

Rahtu, E.[Esa], Kannala, J.H.[Ju-Ho], Blaschko, M.[Matthew],
Learning a category independent object detection cascade,
ICCV11(1052-1059).
IEEE DOI Link 1201
Hierarchical object detection, initial search and filter BibRef

Klein, D.A.[Dominik A.], Frintrop, S.[Simone],
Center-surround divergence of feature statistics for salient object detection,
ICCV11(2214-2219).
IEEE DOI Link 1201
BibRef

Siva, P.[Parthipan], Xiang, T.[Tao],
Weakly supervised object detector learning with model drift detection,
ICCV11(343-350).
IEEE DOI Link 1201
BibRef

Gong, X.J.[Xiao-Jin], Liu, J.L.[Ji-Lin],
A DAISY-like compass operator,
ICIP11(1041-1044).
IEEE DOI Link 1201
BibRef

Le Meur, O.[Olivier],
Robustness and repeatability of saliency models subjected to visual degradations,
ICIP11(3285-3288).
IEEE DOI Link 1201
BibRef

Katramados, I.[Ioannis], Breckon, T.P.[Toby P.],
Real-time visual saliency by Division of Gaussians,
ICIP11(1701-1704).
IEEE DOI Link 1201
BibRef

Saber, Y.[Yusuf], Kyan, M.[Matthew],
High resolution biologically inspired salient region detection,
ICIP11(649-652).
IEEE DOI Link 1201
BibRef

Xie, Y.L.[Yu-Lin], Lu, H.C.[Hu-Chuan],
Visual saliency detection based on Bayesian model,
ICIP11(645-648).
IEEE DOI Link 1201
BibRef

Tang, K.[Ketan], Au, O.C.[Oscar C.], Fang, L.[Lu], Yu, Z.D.[Zhi-Ding], Guo, Y.F.[Yuan-Fang],
Multi-scale analysis of color and texture for salient object detection,
ICIP11(2401-2404).
IEEE DOI Link 1201
BibRef

Engelke, U.[Ulrich], Zepernick, H.J.[Hans-Jurgen],
Psychophysical assessment of perceived interest in natural images: The ROI-D database,
VCIP11(1-4).
IEEE DOI Link 1201
BibRef

Kapoor, A.[Aditi], Biswas, K.K.,
A case-based reasoning approach for detection of salient regions in images,
ICCVGIP10(48-55).
WWW Version. 1111
BibRef

Cao, G.[Guanqun], Cheikh, F.A.,
Salient region detection with opponent color boosting,
EUVIP10(13-18).
IEEE DOI Link 1110
BibRef

Jiang, H.Z.[Huai-Zu], Wang, J.D.[Jing-Dong], Yuan, Z.J.[Ze-Jian], Liu, T.[Tie], Zheng, N.N.[Nan-Ning],
Automatic salient object segmentation based on context and shape prior,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Li, J.[Jian], Levine, M.D.[Martin D.], An, X.J.[Xiang-Jing], He, H.[Hangen],
Saliency Detection Based on Frequency and Spatial Domain Analyses,
BMVC11(xx-yy).
HTML Version. 1110
Detect large and small, inhibit repetitive. See also Real-Time Long-Range Lane Detection and Tracking for Intelligent Vehicle. BibRef

Pei, C.[Chaoke], Gao, L.[Li], Wang, D.H.[Dong-Hui], Hong, Y.[Ying],
A PFT Visual Attention Detection Model Using Bayesian Framework,
ICIG11(816-820).
IEEE DOI Link 1109
Phase spectrum of Fourier Transform. Salient object. BibRef

Bodesheim, P.[Paul],
Spectral Clustering of ROIs for Object Discovery,
DAGM11(450-455).
Springer DOI Link 1109
BibRef

Duan, L.J.[Li-Juan], Wu, C.P.[Chun-Peng], Miao, J.[Jun], Qing, L.Y.[Lai-Yun], Fu, Y.[Yu],
Visual saliency detection by spatially weighted dissimilarity,
CVPR11(473-480).
IEEE DOI Link 1106
BibRef

Cheng, M.M.[Ming-Ming], Zhang, G.X.[Guo-Xin], Mitra, N.J.[Niloy J.], Huang, X.L.[Xiao-Lei], Hu, S.M.[Shi-Min],
Global contrast based salient region detection,
CVPR11(409-416).
IEEE DOI Link 1106
BibRef

Caulfield, J.T.[John T.], Havlicek, J.P.[Joseph P.],
Advanced image processing techniques for extracting regions of interest using multimode IR processing,
AIPR10(1-4).
IEEE DOI Link 1010
BibRef

Hu, Y.Q.[Yi-Qun], Ren, Z.X.[Zhi-Xiang], Rajan, D.[Deepu], Chia, L.T.[Liang-Tien],
Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content,
ACCV10(II: 515-526).
Springer DOI Link 1011
BibRef

Himawan, I.[Ivan], Song, W.[Wei], Tjondronegoro, D.[Dian],
User-driven saliency maps for evaluating Region-of-Interest detection,
WACV11(389-395).
IEEE DOI Link 1101
BibRef

Vikram, T.N.[Tadmeri Narayan], Tscherepanow, M.[Marko], Wrede, B.[Britta],
A random center surround bottom up visual attention model useful for salient region detection,
WACV11(166-173).
IEEE DOI Link 1101
BibRef

Tungkatsathan, A.[Anucha], Premchaiswadi, W.[Wichain], Premchaiswadi, N.[Nucharee],
Unsupervised Detection for Minimizing a Region of Interest around Distinct Object in Natural Images,
DICTA10(202-207).
IEEE DOI Link 1012
BibRef

Shi, C.[Chenbo], Wang, G.J.[Gui-Jin], Lin, X.G.[Xing-Gang], Wang, Y.M.[Yong-Ming], Liao, C.[Chao], Miao, Q.[Quan],
Topology based affine invariant descriptor for MSERs,
ICIP10(133-136).
IEEE DOI Link 1009
Maximally Stable Extremal Regions. Only topology and geometry. BibRef

Skibbe, H.[Henrik], Teynor, A.[Alexandra], Burkhardt, H.[Hans],
Unsupervised Learning of Characteristic Object Parts from Videos,
MVA09(199-).
PDF Version. 0905
BibRef

Song, X.[Xi], Luo, P.[Ping], Lin, L.[Liang], Jia, Y.D.[Yun-De],
A Discriminative Model for Object Representation and Detection via Sparse Features,
ICPR10(3077-3080).
IEEE DOI Link 1008
patches for features. BibRef

Zitnick, C.L.[C. Lawrence], Ramnath, K.[Krishnan],
Edge foci interest points,
ICCV11(359-366).
IEEE DOI Link 1201
BibRef

Zitnick, C.L.[C. Lawrence],
Binary Coherent Edge Descriptors,
ECCV10(II: 170-182).
Springer DOI Link 1009
Patch descriptor based on edge position. BibRef

Su, J.Y.[Jing-Yong], Zhu, Z.Q.[Zhi-Qiang], Srivastava, A.[Anuj], Huffer, F.[Fred],
A fully statistical framework for shape detection in image primitives,
POCV10(17-24).
IEEE DOI Link 1006
points, edges, arcs. BibRef

Kumar, M.P.[M. Pawan], Koller, D.[Daphne],
Efficiently selecting regions for scene understanding,
CVPR10(3217-3224).
IEEE DOI Link 1006
BibRef

Carmichael, G.[Gail], Laganière, R.[Robert], Bose, P.[Prosenjit],
Global Context Descriptors for SURF and MSER Feature Descriptors,
CRV10(309-316).
IEEE DOI Link 1005
BibRef

Winder, S.[Simon], Hua, G.[Gang], Brown, M.[Matthew],
Picking the best DAISY,
CVPR09(178-185).
IEEE DOI Link 0906
For general 2-D basic features. BibRef

Huang, T.H.[Tz-Huan], Cheng, K.Y.[Kai-Yin], Chuang, Y.Y.[Yung-Yu],
A collaborative benchmark for region of interest detection algorithms,
CVPR09(296-303).
IEEE DOI Link 0906
BibRef

Raj, K.C.E.S.[Katari Clement Emmanuel Sanjay], Venkataraman, S.[Sarma], Varadan, G.[Geeta],
A Fuzzy Approach to Region of Interest Coding in JPEG 2000 for Automatic Target Recognition Applications from High-Resolution Satellite Images,
ICCVGIP08(193-200).
IEEE DOI Link 0812
BibRef

Dong, M.[Ming], Chen, Y.H.[Yan-Hua],
Salient region detection and feature extraction in 3D visual data,
ICIP08(185-188).
IEEE DOI Link 0810
BibRef

Collins, R.T.[Robert T.], Ge, W.[Weina],
CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching,
ECCV08(III: 140-153).
Springer DOI Link 0810
BibRef

Agrawal, M.[Motilal], Konolige, K.G.[Kurt G.], Blas, M.R.[Morten Rufus],
CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching,
ECCV08(IV: 102-115).
Springer DOI Link 0810
BibRef

Spinello, L.[Luciano], Siegwart, R.Y.[Roland Y.],
Region of Interest Generation in Dynamic Environments Using Local Entropy Fields,
CVS08(xx-yy).
Springer DOI Link 0805
BibRef

Szumilas, L.[Lech], Wildenauer, H.[Horst],
Spatial Configuration of Local Shape Features for Discriminative Object Detection,
ISVC09(I: 22-33).
Springer DOI Link 0911
BibRef

Szumilas, L.[Lech], Wildenauer, H.[Horst], Hanbury, A.[Allan],
Invariant Shape Matching for Detection of Semi-local Image Structures,
ICIAR09(551-562).
Springer DOI Link 0907
See also Radial Edge Configuration for Semi-local Image Structure Description. BibRef

Takauji, H.[Hidenori], Nakayama, I.[Io], Kaneko, S.[Shun'ichi], and Tanaka, T.[Takayuki],
Autonomous and robust structuring of real environment by searching complex regions,
IEVM06(xx-yy).
PDF Version. 0609
Find specific objects (tags) to use for scale in stereo analysis. BibRef

Murakami, O., Amano, K., Ohnishi, Y., Nishiyama, S.,
Automatic target detection for vision metrology with using coloured target,
IEVM06(xx-yy).
PDF Version. 0609
BibRef

Clauss, M.[Martin], Bayerl, P.[Pierre], Neumann, H.[Heiko],
A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms,
DAGM04(383-390).
WWW Version. 0505
BibRef

Pantofaru, C.[Caroline], Dorko, G.[Gyuri], Schmid, C.[Cordelia], Hebert, M.[Martial],
Combining Regions and Patches for Object Class Localization,
BP06(23).
IEEE DOI Link 0609
BibRef

Dorkó, G.[Gyuri], Schmid, C.[Cordelia],
Maximally Stable Local Description for Scale Selection,
ECCV06(IV: 504-516).
Springer DOI Link 0608
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 Link 0311
Interest feature detection. BibRef

Lazebnik, S.[Svetlana], Schmid, C.[Cordelia], Ponce, J.[Jean],
A Discriminative Framework for Texture and Object Recognition Using Local Image Features,
CLOR06(423-442).
Springer DOI Link 0711
BibRef
Earlier:
A Maximum Entropy Framework for Part-Based Texture and Object Recognition,
ICCV05(I: 832-838).
IEEE DOI Link
PDF Version. 0510
BibRef
Earlier:
Semi-Local Affine Parts for Object Recognition,
BMVC04(xx-yy).
HTML Version.
PDF Version. 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.,
Foreground/background Bit Allocation for Region-of-interest Coding,
ICIP00(Vol II: 923-926).
IEEE Abstract. 0008
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Computation of Shape Features of Two Dimensional Objects .