ASEV - Automatic situation assessment for event-driven video analysis

Fenzi, M., Ostermann, J., Mentzer, N., Payá-Vayá, G., Blume, H., Nguyen, T. N. & Risse, T., 9 Okt. 2014, 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance: AVSS 2014. IEEE Computer Society, S. 37-43 7 S.

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Computation strategies for volume local binary patterns applied to action recognition

Baumann, F., Ehlers, A., Rosenhahn, B. & Liao, J., 8 Okt. 2014, 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014. Institute of Electrical and Electronics Engineers Inc., S. 68-73 6 S. 6918646. (11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014).

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Localization Accuracy of Interest Point Detectors with Different Scale Space Representations

Cordes, K., Rosenhahn, B. & Ostermann, J., 8 Okt. 2014, 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance: AVSS 2014. Institute of Electrical and Electronics Engineers Inc., S. 247-252 6 S. 6918676. (11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014).

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Feature regression for multimodal image analysis

Yang, M. Y., Yong, X. & Rosenhahn, B., 24 Sept. 2014, Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014. IEEE Computer Society, S. 770-777 8 S. 6910069. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

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Learning an image-based motion context for multiple people tracking

Leal-Taixé, L., Fenzi, M., Kuznetsova, A., Rosenhahn, B. & Savarese, S., 24 Sept. 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, S. 3542-3549 8 S. 6909848. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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Posebits for monocular human pose estimation

Pons-Moll, G., Fleet, D. J. & Rosenhahn, B., 24 Sept. 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, S. 2345-2352 8 S. 6909697. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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Plant Classification System for Crop / Weed Discriminationwithout Segmentation

Haug, S., Michaels, A., Biber, P. & Ostermann, J., Juni 2014, 2014 IEEE Winter Conference on Applications of Computer Vision: WACV 2014. S. 1142-1149 8 S. 6835733

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Motion Blur Compensation in Scalable HEVC Hybrid Video Coding

Laude, T., Meuel, H., Liu, Y. & Ostermann, J., Feb. 2014, 2013 Picture Coding Symposium: PCS 2013 - Proceedings. S. 313-316 4 S. 6737746. (2013 Picture Coding Symposium, PCS 2013 - Proceedings).

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Brain tumor classification using sparse coding and dictionary learning

Al-Shaikhli, S. D. S., Yang, M. Y. & Rosenhahn, B., 28 Jan. 2014, 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., S. 2774-2778 5 S. 7025561

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Scalable extension of HEVC using enhanced inter-layer prediction

Laude, T., Xiu, X., Dong, J., He, Y., Ye, Y. & Ostermann, J., Jan. 2014, 2014 IEEE International Conference on Image Processing,: ICIP 2014. Institute of Electrical and Electronics Engineers Inc., S. 3739-3743 5 S. 7025759

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A Lloyd-Max based quantizer of L-values for AWGN and Rayleigh fading channel.

Samayoa, Y. & Ostermann, J., 2014, WCSP. S. 1-6 6 S.

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Boosted fractal integral paths for object detection

Ehlers, A., Baumann, F. & Rosenhahn, B., 2014, Advances in Visual Computing: 10th International Symposium, ISVC 2014, Proceedings. Springer Verlag, S. 458-470 13 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8888).

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Coupled dictionary learning for automatic multi-label brain tumor segmentation in flair MRI images

Al-Shaikhli, S. D. S., Yang, M. Y. & Rosenhahn, B., 2014, Advances in Visual Computing: 10th International Symposium, ISVC 2014, Proceedings. Springer Verlag, S. 489-500 12 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8887).

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