Chen, D.Y.[Duan-Yu],
Luo, Y.S.[Yi-Shiou],
Content-aware video resizing based on salient visual cubes,
JVCIR(22), No. 3, April 2011, pp. 226-236.
Elsevier DOI
1103
Seam carving, Visual cubes, Spatiotemporal analysis, Visual attention;
Video resizing, Content aware, Visual continuity, Video dynamics
BibRef
Luo, S.Q.[Si-Qiang],
Zhang, J.P.[Jun-Ping],
Zhang, Q.[Qian],
Yuan, X.R.[Xiao-Ru],
Multi-operator image retargeting with automatic integration of direct
and indirect seam carving,
IVC(30), No. 9, September 2012, pp. 655-667.
Elsevier DOI
1210
Image resizing, Multi-operator, Seam carving, Cropping method, Image
similarity
BibRef
Shen, J.,
Wang, D.,
Li, X.,
Depth-Aware Image Seam Carving,
Cyber(43), No. 5, 2013, pp. 1453-1461.
IEEE DOI
1309
Cameras. Preserve salient objects when changing size.
Just noticeable difference model. Depth map used for seam carving.
BibRef
Yan, B.,
Sun, K.,
Liu, L.,
Matching-Area-Based Seam Carving for Video Retargeting,
CirSysVideo(23), No. 2, February 2013, pp. 302-310.
IEEE DOI
1301
BibRef
Basha, T.D.[Tali Dekel],
Moses, Y.[Yael],
Avidan, S.[Shai],
Stereo Seam Carving a Geometrically Consistent Approach,
PAMI(35), No. 10, 2013, pp. 2513-2525.
IEEE DOI
1309
BibRef
Earlier:
Geometrically consistent stereo seam carving,
ICCV11(1816-1823).
IEEE DOI
1201
Image retargeting, adapt without distorting.
Algorithm design and analysis
BibRef
Wei, J.D.[Jyh-Da],
Lin, Y.J.[Yu-Ju],
Wu, Y.J.[Yi-Jing],
A patch analysis method to detect seam carved images,
PRL(36), No. 1, 2014, pp. 100-106.
Elsevier DOI
1312
Seam carving is a content-aware image processing algorithm that has
been successfully applied to resizing and deliberately removing
objects from digital images.
BibRef
Ryu, S.J.[Seung-Jin],
Lee, H.Y.[Hae-Yeoun],
Lee, H.K.[Heung-Kyu],
Detecting Trace of Seam Carving for Forensic Analysis,
IEICE(E97-D), No. 5, May 2014, pp. 1304-1311.
WWW Link.
1405
BibRef
Li, K.[Ke],
Yan, B.[Bo],
Li, J.[Jun],
Majumder, A.[Aditi],
Seam carving based aesthetics enhancement for photos,
SP:IC(39, Part C), No. 1, 2015, pp. 509-516.
Elsevier DOI
1601
Seam carving
BibRef
Li, K.[Ke],
Yan, B.[Bo],
Wang, W.Y.[Wei-Yi],
Gharavi, H.,
An Effective Video Synopsis Approach with Seam Carving,
SPLetters(23), No. 1, January 2016, pp. 11-14.
IEEE DOI
1601
object tracking
BibRef
Zhang, D.Y.[Deng-Yong],
Yin, T.[Ting],
Yang, G.B.[Gao-Bo],
Xia, M.[Ming],
Li, L.[Leida],
Sun, X.M.[Xing-Ming],
Detecting image seam carving with low scaling ratio using multi-scale
spatial and spectral entropies,
JVCIR(48), No. 1, 2017, pp. 281-291.
Elsevier DOI
1708
Image forensics
BibRef
Liu, Q.Z.[Qing-Zhong],
An approach to detecting JPEG down-recompression and seam carving
forgery under recompression anti-forensics,
PR(65), No. 1, 2017, pp. 35-46.
Elsevier DOI
1702
BibRef
Earlier:
Exposing seam carving forgery under recompression attacks by hybrid
large feature mining,
ICPR16(1041-1046)
IEEE DOI
1705
Discrete cosine transforms, Feature extraction, Forgery,
Image coding, Image forensics, Medical services, Transform coding,
big feature mining, image forgery, recompression, seam carving.
BibRef
Liu, Q.Z.[Qing-Zhong],
An Improved Approach to Exposing JPEG Seam Carving Under
Recompression,
CirSysVideo(29), No. 7, July 2019, pp. 1907-1918.
IEEE DOI
1907
Transform coding, Forgery, Feature extraction, Image coding,
Correlation, Mathematical model, Medical services, JPEG,
recompression
BibRef
Shafieyan, F.,
Karimi, N.,
Mirmahboub, B.,
Samavi, S.,
Shirani, S.,
Image retargeting using depth assisted saliency map,
SP:IC(50), No. 1, 2017, pp. 34-43.
Elsevier DOI
1612
BibRef
And:
Image seam carving using depth assisted saliency map,
ICIP14(1155-1159)
IEEE DOI
1502
Image retargeting.
Cameras
BibRef
Zhou, B.[Bin],
Wang, X.Y.[Xuan-Yin],
Cao, S.X.[Song-Xiao],
Xiang, K.[Ke],
Zhao, S.[Shuo],
Optimal bi-directional seam carving for compressibility-aware image
retargeting,
JVCIR(41), No. 1, 2016, pp. 21-30.
Elsevier DOI
1612
Image retargeting
BibRef
Patel, D.[Diptiben],
Raman, S.[Shanmuganathan],
Accelerated seam carving for image retargeting,
IET-IPR(13), No. 6, 10 May 2019, pp. 885-895.
DOI Link
1906
BibRef
Furuta, R.[Ryosuke],
Tsubaki, I.[Ikuko],
Yamasak, T.[Toshihiko],
Fast Volume Seam Carving With Multipass Dynamic Programming,
CirSysVideo(28), No. 5, May 2018, pp. 1087-1101.
IEEE DOI
1805
BibRef
Earlier:
ICIP16(1818-1822)
IEEE DOI
1610
Heuristic algorithms, Image quality, Memory management,
Minimization, Surface treatment,
video retargeting
Cost function. Graph cut process is expensive.
BibRef
Hsin, H.C.[Hsi-Chin],
Video retargeting based on SH equalisation and seam carving,
IET-IPR(13), No. 8, 20 June 2019, pp. 1333-1340.
DOI Link
1906
BibRef
Patel, D.[Diptiben],
Nagar, R.[Rajendra],
Raman, S.[Shanmuganathan],
Reflection symmetry aware image retargeting,
PRL(125), 2019, pp. 179-186.
Elsevier DOI
1909
Image retargeting, Reflection symmetry, Object proposal, Seam carving
BibRef
Patel, D.[Diptiben],
Raman, S.[Shanmuganathan],
Object occlusion guided stereo image retargeting,
PRL(125), 2019, pp. 798-805.
Elsevier DOI
1909
Stereo imaging, Object occlusion, Geometric consistency, Seam carving
BibRef
Kaur, H.[Harpreet],
Kour, S.[Swarnjeet],
Sen, D.[Debashis],
Video retargeting through spatio-temporal seam carving using Kalman
filter,
IET-IPR(13), No. 11, 19 September 2019, pp. 1862-1871.
DOI Link
1909
BibRef
Earlier:
Prediction based seam carving for video retargeting,
ICPR16(877-882)
IEEE DOI
1705
Covariance matrices, Current measurement, Energy measurement,
Estimation, Kalman filters, Mathematical model,
Nonlinear distortion, Kalman filter, seam carving,
temporal coherency, video, retargeting
BibRef
Cheng, H.,
Wei, J.,
Lin, C.,
Ye, J.,
Detecting Seam-Carved Image by Extreme Learning Machines Using Patch
Analysis Method, Jury Voting, and Combinatorial Fusion,
SMCS(50), No. 5, May 2020, pp. 1850-1864.
IEEE DOI
2005
Support vector machines, Feature extraction, Task analysis,
Training, Testing, Neurons, Nonlinear distortion,
support vector machine (SVM)
BibRef
Mukherjee, P.[Prerana],
Lall, B.[Brejesh],
Conditional Random Field based salient proposal set generation and
its application in content aware seam carving,
SP:IC(87), 2020, pp. 115890.
Elsevier DOI
2007
object edge density.
Structured prediction, Edge classification,
Salient edge density based scoring, Salient region preserving seam carving
BibRef
Nam, S.H.[Seung-Hun],
Ahn, W.[Wonhyuk],
Yu, I.J.[In-Jae],
Kwon, M.J.[Myung-Joon],
Son, M.[Minseok],
Lee, H.K.[Heung-Kyu],
Deep Convolutional Neural Network for Identifying Seam-Carving
Forgery,
CirSysVideo(31), No. 8, August 2021, pp. 3308-3326.
IEEE DOI
2108
Forgery, Visualization, Image color analysis,
Convolutional neural networks, Image forensics, Distortion,
local artifact detection
BibRef
Guo, Y.C.[Ying-Chun],
Wang, D.[Dan],
Zhu, Y.[Ye],
Yan, G.[Gang],
Multi-operator Image Retargeting based on Saliency Object Ranking and
Similarity Evaluation Metric,
SP:IC(119), 2023, pp. 117063.
Elsevier DOI
2310
Image Retargeting, Seam carving, Uniform scaling,
Energy transfer rule, Saliency Object Ranking
BibRef
Zhang, D.Y.[Deng-Yong],
Lv, Z.Y.[Zhen-Yu],
Li, F.[Feng],
Ding, X.L.[Xiang-Ling],
Yang, G.[Gaobo],
A convolutional neural network based on noise residual for seam
carving detection,
JVCIR(100), 2024, pp. 104135.
Elsevier DOI
2405
Image forensic, Seam carving, Deep learning, Local noise in-consistency
BibRef
Gudavalli, C.[Chandrakanth],
Rosten, E.[Erik],
Nataraj, L.[Lakshmanan],
Chandrasekaran, S.[Shivkumar],
Manjunath, B.S.,
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery
in Satellite Imagery,
WMF22(1-11)
IEEE DOI
2210
Location awareness, Measurement, Satellites, Image coding, Roads
BibRef
Nam, S.,
Ahn, W.,
Mun, S.,
Park, J.,
Kim, D.,
Yu, I.,
Lee, H.,
Content-Aware Image Resizing Detection Using Deep Neural Network,
ICIP19(106-110)
IEEE DOI
1910
Forensics, Content-aware image resizing, Seam carving,
Seam insertion, Convolutional neural networks
BibRef
Ye, J.Y.[Jing-Yu],
Shi, Y.X.[Yu-Xi],
Xu, G.S.[Guan-Shuo],
Shi, Y.Q.[Yun-Qing],
A Convolutional Neural Network Based Seam Carving Detection Scheme for
Uncompressed Digital Images,
IWDW18(3-13).
Springer DOI
1905
BibRef
Li, C.,
Hu, R.,
Liang, C.,
Xiao, C.,
Ruan, W.,
Faster Seam Carving for Video Retargeting,
ICIP18(823-827)
IEEE DOI
1809
Coherence, Genetic algorithms, Computational complexity,
Spatial coherence, Sociology, Statistics, Visualization,
computational complexity
BibRef
Lin, Y.Q.[Yu-Qing],
Niu, Y.Z.[Yu-Zhen],
Zhang, S.[Shuai],
Chen, J.H.[Jun-Hao],
Anisotropic energy accumulation for stereoscopic image seam carving,
IC3D17(1-7)
IEEE DOI
1804
edge detection, feature extraction, image resolution,
image segmentation, stereo image processing,
stereo seam carving
BibRef
Nguyen, T.V.,
Gao, G.,
Novel evaluation metrics for seam carving based image retargeting,
ICIP17(450-454)
IEEE DOI
1803
Benchmark testing, Computational modeling, Image edge detection,
Measurement, Shape, Task analysis, Visualization, Image Retargeting,
Visual Saliency
BibRef
Ye, J.Y.[Jing-Yu],
Shi, Y.Q.[Yun-Qing],
A Hybrid Feature Model for Seam Carving Detection,
IWDW17(77-89).
Springer DOI
1708
BibRef
Earlier:
A Local Derivative Pattern Based Image Forensic Framework for Seam
Carving Detection,
IWDW16(172-184).
Springer DOI
1703
BibRef
Taspinar, S.[Samet],
Mohanty, M.[Manoranjan],
Memon, N.[Nasir],
PRNU based source attribution with a collection of seam-carved images,
ICIP16(156-160)
IEEE DOI
1610
Photo Response Non-Uniformity. Source Camera verification.
BibRef
Mishra, A.[Akshaya],
Scharfenberger, C.[Christian],
Siva, P.[Parthipan],
Li, F.[Fan],
Wong, A.[Alexander],
Clausi, D.[David],
DESIRe: Discontinuous energy seam carving for image retargeting via
structural and textural energy functionals,
ICIP15(3685-3689)
IEEE DOI
1512
BibRef
And:
ICIP15(3695-3699)
IEEE DOI
1512
Discontinuous; Energy functional; Seam Carving; Structure; Texture
BibRef
Oliveira, S.A.F.[Saulo A. F.],
Bezerra, F.N.[Francisco N.],
Neto, A.R.R.[Ajalmar R. Rocha],
Genetic Seam Carving:
A Genetic Algorithm Approach for Content-Aware Image Retargeting,
IbPRIA15(700-707).
Springer DOI
1506
BibRef
Siva, P.[Parthipan],
Scharfenberger, C.[Christian],
Ben Daya, I.[Ibrahim],
Mishra, A.[Akshaya],
Wong, A.[Alexander],
Return of grid seams: A superpixel algorithm using discontinuous
multi-functional energy seam carving,
ICIP15(1334-1338)
IEEE DOI
1512
Discontinuous; Multi-functional; Seam Carving; Superpixels
BibRef
Yan, B.[Bo],
Gao, Y.[Yiqi],
Sun, K.[Kairan],
Yang, B.[Bo],
Efficient seam carving for object removal,
ICIP13(1331-1335)
IEEE DOI
1402
Educational institutions
BibRef
Qi, S.Y.[Shao-Yu],
Ho, J.[Jeffrey],
Shift-Map Based Stereo Image Retargeting with Disparity Adjustment,
ACCV12(IV:457-469).
Springer DOI
1304
BibRef
And:
Seam Segment Carving:
Retargeting Images to Irregularly-Shaped Image Domains,
ECCV12(VI: 314-326).
Springer DOI
1210
BibRef
Pan, G.[Gang],
Li, W.S.[Wei-Shu],
Bai, W.[Wei],
Chen, J.Y.[Jin-Yan],
Li, L.Y.[Lu-Yuan],
Reverse Seam Carving,
ICIG11(50-55).
IEEE DOI
1109
Content aware resizing (reduction and expansion).
BibRef
Grundmann, M.[Matthias],
Kwatra, V.[Vivek],
Han, M.[Mei],
Essa, I.A.[Irfan A.],
Discontinuous seam-carving for video retargeting,
CVPR10(569-576).
IEEE DOI
1006
BibRef
Domingues, D.[Daniel],
Alahi, A.[Alexandre],
Vandergheynst, P.[Pierre],
Stream carving: An adaptive seam carving algorithm,
ICIP10(901-904).
IEEE DOI
1009
BibRef
Utsugi, K.[Kei],
Shibahara, T.[Takuma],
Koike, T.[Takafumi],
Takahashi, K.[Keita],
Naemura, T.[Takeshi],
Seam carving for stereo images,
3DTV10(1-4).
IEEE DOI
1006
Stereo image editing. Delete seams of less important pixels for resizing.
BibRef
Han, J.W.[Jong-Woo],
Choi, K.S.[Kang-Sun],
Wang, T.S.[Tae-Shick],
Cheon, S.H.[Sung-Hyun],
Ko, S.J.[Sung-Jea],
Wavelet based seam carving for content-aware image resizing,
ICIP09(345-348).
IEEE DOI
0911
BibRef
Koo, H.I.[Hyung Il],
Kuk, J.G.[Jung Gap],
Cho, N.I.[Nam Ik],
Eliminating structure misalignments using robust matching and image
editing based on seam carving,
ICIP09(209-212).
IEEE DOI
0911
Stitching issues.
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
HDR, High Dynamic Range, Enhanced Dynamic Range from Multiple Images .