A Machine Learning Framework for Inter-frame Prediction for Effective Motion Estimation
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-77442-4_42
Reference32 articles.
1. Chakrabarti, I., Batta, K.N.S., Chatterjee, S.K.: Motion Estimation for Video Coding, p. 157. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-14376-7
2. Metkar, S., Talbar, S.: Motion Estimation Techniques for Digital Video Coding. Springer (2013). https://doi.org/10.1007/978-81-322-1097-9
3. Ahmed, Z., et al.: Lossy and lossless video frame compression: a novel approach for high-temporal video data analytics. Remote Sens. 12(6), 1004 (2020)
4. Nicolas, H., Moscheni, F.: Temporal redundancy reduction using a motion model hierarchy and tracking for image sequence coding. In: Visual Communications and Image Processing 1993, vol. 2094, pp. 1548–1557. International Society for Optics and Photonics (1993)
5. Tian, M., Guan, B., Xing, Z., Fraundorfer, F.: Efficient ego-motion estimation for multi-camera systems with decoupled rotation and translation. IEEE Access 8, 153804–153814 (2020)
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