By Thomas Bräunl, Brendan McCane, Mariano Rivera, Xinguo Yu
This booklet constitutes the completely refereed post-conference complaints of the seventh Pacific Rim Symposium on snapshot and Video know-how, PSIVT 2015, held in Auckland, New Zealand, in November 2015.
The overall of sixty one revised papers used to be rigorously reviewed and chosen from 133 submissions. The papers are prepared in topical sections on colour and movement, image/video coding and transmission, computational images and humanities, desktop imaginative and prescient and functions, photo segmentation and type, video surveillance, biomedical picture processing and research, item and trend acceptance, laptop imaginative and prescient and development reputation, image/video processing and research, and trend recognition.
Read Online or Download Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers PDF
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Extra resources for Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers
6469, pp. 214–224. Springer, Heidelberg (2011) 12. : Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme. In: Proceedings of the IEEE Intelligent Vehicles Symposium, pp. 486–492 (2010) 13. : Concise Computer Vision. Springer, London (2014) 14. : EPnP: an accurate O(n) solution to the PnP problem. Int. J. Comput. Vis. 81, 155–166 (2009) 15. : Visual odometry: part I - the ﬁrst 30 years and fundamentals. IEEE Robot. Autom. Mag. 18, 80–92 (2011) 16. : Incremental motion estimation through local bundle adjustment.
The detailed stroke generation methods will be explained in Sect. 5. Finally, after the painting process, if there are still small unpainted regions, then the hole ﬁlling will take place to complete the oil-style painting synthesis. The unpainted regions can be ﬁlled by colors obtained from the input photograph. 18 3 F. Huang et al. Complexity Map and Point Map In this paper, the term complexity for a local image region is deﬁned by the color or intensity variation within that region. , size and shape) and determining the amount of strokes to be applied for a particular image region.
7). “Mobile” and “Flower” are in a class of images with large object movements between subsequent frames. “Deadline” is vice versa. All images were compressed with 9 diﬀerent quantization parameters (QP). 5 with QP = 10 will be referred to as “Mobile5-10”. 8  was used in the simulation. 7 GHz processor and a main memory of 16 Gbytes. 46 H. Kobayashi et al.
Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers by Thomas Bräunl, Brendan McCane, Mariano Rivera, Xinguo Yu