Travelled to:
1 × China
1 × Japan
1 × Spain
1 × Sweden
1 × Turkey
2 × USA
Collaborated with:
C.L.Tan T.Q.Phan U.Pal T.Lu W.Huang S.Lu B.Su R.Huang S.Uchida J.Xu N.Sharma M.Blumenstein S.Tian S.Oba S.Roy P.P.Roy A.Dutta L.Wu X.Ma D.B.Hong D.Zhao Z.Ding D.Rajendran S.Bhowmick
Talks about:
video (20) text (15) detect (10) charact (9) base (8) scene (7) gradient (6) method (6) new (6) recognit (5)
Person: Palaiahnakote Shivakumara
DBLP: Shivakumara:Palaiahnakote
Contributed to:
Wrote 25 papers:
- ICPR-2014-LuWMST #detection #modelling
- Anomaly Detection through Spatio-temporal Context Modeling in Crowded Scenes (TL, LW, XM, PS, CLT), pp. 2203–2208.
- ICPR-2014-ShivakumaraSPBT #identification #video
- Gradient-Angular-Features for Word-wise Video Script Identification (PS, NS, UP, MB, CLT), pp. 3098–3103.
- ICPR-2014-XuSLPT #classification #video
- Graphics and Scene Text Classification in Video (JX, PS, TL, TQP, CLT), pp. 4714–4719.
- ICPR-2014-XuSLT #2d #3d #classification #video
- 2D and 3D Video Scene Text Classification (JX, PS, TL, CLT), pp. 2932–2937.
- ICDAR-2013-HuangSU #detection
- Scene Character Detection by an Edge-Ray Filter (RH, PS, SU), pp. 462–466.
- ICDAR-2013-PhanSLT #integration #recognition #video
- Recognition of Video Text through Temporal Integration (TQP, PS, TL, CLT), pp. 589–593.
- ICDAR-2013-SharmaSPBT #multi #segmentation #video #word
- A New Method for Character Segmentation from Multi-oriented Video Words (NS, PS, UP, MB, CLT), pp. 413–417.
- ICDAR-2013-TianSPT #re-engineering
- Scene Character Reconstruction through Medial Axis (ST, PS, TQP, CLT), pp. 1360–1364.
- ICPR-2012-HuangOSU #detection #framework #multi #recognition
- Scene character detection and recognition based on multiple hypotheses framework (RH, SO, PS, SU), pp. 717–720.
- ICPR-2012-PhanST #detection #symmetry #using
- Text detection in natural scenes using Gradient Vector Flow-Guided symmetry (TQP, PS, CLT), pp. 3296–3299.
- ICPR-2012-RoySRT #video
- Wavelet-gradient-fusion for video text binarization (SR, PS, PPR, CLT), pp. 3300–3303.
- ICPR-2012-ShivakumaraHZTP #video
- A new Iterative-Midpoint-Method for video character gap filling (PS, DBH, DZ, CLT, UP), pp. 673–676.
- ICDAR-2011-PhanSDLT #identification #video
- Video Script Identification Based on Text Lines (TQP, PS, ZD, SL, CLT), pp. 1240–1244.
- ICDAR-2011-PhanSST #segmentation #video
- A Gradient Vector Flow-Based Method for Video Character Segmentation (TQP, PS, BS, CLT), pp. 1024–1028.
- ICDAR-2011-RajendranSSLT #recognition #video #word
- A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition (DR, PS, BS, SL, CLT), pp. 1165–1169.
- ICDAR-2011-ShivakumaraBSTP #recognition #segmentation #video
- A New Gradient Based Character Segmentation Method for Video Text Recognition (PS, SB, BS, CLT, UP), pp. 126–130.
- ICDAR-2011-ShivakumaraPLT #classification #recognition #video
- Video Character Recognition through Hierarchical Classification (PS, TQP, SL, CLT), pp. 131–135.
- ICPR-2010-ShivakumaraDTP #classification #proximity #symmetry #video
- A New Symmetry Based on Proximity of Wavelet-Moments for Text Frame Classification in Video (PS, AD, CLT, UP), pp. 129–132.
- ICPR-2010-ShivakumaraPT #detection #video
- New Wavelet and Color Features for Text Detection in Video (PS, TQP, CLT), pp. 3996–3999.
- ICPR-2010-ShivakumaraT #classification #novel #video
- Novel Edge Features for Text Frame Classification in Video (PS, CLT), pp. 3191–3194.
- ICDAR-2009-PhanST #detection #video
- A Laplacian Method for Video Text Detection (TQP, PS, CLT), pp. 66–70.
- ICDAR-2009-ShivakumaraPT #detection #difference #video
- A Gradient Difference Based Technique for Video Text Detection (PS, TQP, CLT), pp. 156–160.
- ICDAR-2009-ShivakumaraPT09a #detection #robust #video
- A Robust Wavelet Transform Based Technique for Video Text Detection (PS, TQP, CLT), pp. 1285–1289.
- ICPR-2008-HuangST #detection #using #video
- Detecting moving text in video using temporal information (WH, PS, CLT), pp. 1–4.
- ICPR-2008-ShivakumaraHT #detection #performance #using #video
- Efficient video text detection using edge features (PS, WH, CLT), pp. 1–4.