Perceptual quantization parameter selection for crime scene investigation tool images

Graphical abstract

References

[1] He J, Yang E H, Yang F, Yang K . Adaptive quantization parameter selection for H. 265/HEVC by employing inter-frame dependency. IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28( 12): 3424–3436

[2] Amer H, Yang E H . Adaptive quantization parameter selection for low-delay HEVC via temporal propagation length estimation. Signal Processing: Image Communication, 2020, 84: 115826

[3] Gong Y, Yang K, Liu Y, Lim K P, Ling N, Wu H R . Quantization parameter cascading for surveillance video coding considering all inter reference frames. IEEE Transactions on Image Processing, 2021, 30: 5692–5707

[4] Li B, Zhang D, Li H, Xu J. QP determination by lambda value. In: Proceedings of the 9th Meeting of Joint Collaborative Team on Video Coding. 2012, 1–10

[5] Sato K. Proposal on large block structure and quantization. In: Proceedings of the 3rd Meeting of Joint Collaborative Team on Video Coding. 2010, 1–8

[6] Liu Y, Li Z, Gong Y C, Lin Q F, Wang F P . Characteristics description and recognition of knife images in crime scene investigation. Journal of Xi’an University of Posts and Telecommunications, 2020, 25( 1): 49–55

[7] Yuan H, Wang Q, Liu Q, Huo J, Li P . Hybrid distortion-based rate-distortion optimization and rate control for H.265/HEVC. IEEE Transactions on Consumer Electronics, 2021, 67( 2): 97–106

[8] Liu Y, Hu D, Fan J L, Wang F P, Li D X . Multi-feature fusion based retrieval results optimization for crime scene investigation image retrieval. Acta Electronica Sinica, 2019, 47( 2): 296–301

Acknowledgements

This research work was supported by the National Natural Science Foundation of China (Grant Nos. 62277036, 61801381, 61801282).

Supporting Information

The supporting information is available online at journal.hep.com.cn and link.springer.com.

RIGHTS & PERMISSIONS

2023 Higher Education Press