By Wen Gao, Siwei Ma
This booklet provides an outline of the cutting-edge in video coding expertise. in particular, it introduces the instruments of the AVS2 average, describing how AVS2 may also help to accomplish an important development in coding potency for destiny video networks and functions through incorporating smarter coding instruments similar to scene video coding. beneficial properties: introduces the elemental innovations in video coding, and provides a quick historical past of video coding know-how and criteria; studies the coding framework, major coding instruments, and syntax constitution of AVS2; describes the major applied sciences utilized in the AVS2 general, together with prediction coding, remodel coding, entropy coding, and loop-filters; examines effective instruments for scene video coding and surveillance video, and the main points of a promising clever video coding procedure; discusses optimization applied sciences in video coding platforms; offers a assessment of snapshot, video, and 3D content material caliber overview algorithms; surveys the new learn subject matters in video compression.
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Additional resources for Advanced Video Coding Systems
2012) and Adaptive Loop Filter (ALF) (Tsai et al. 2013), are extensively discussed. The SAO reduces the compression artifacts by first classifying reconstructed samples into different categories, obtaining an offset for each category, and then adding the offset to each sample. Compared to SAO with only one offset for each sample, the ALF processes one sample with neighboring samples by a multiple taps filter, parameters of which are obtained by minimizing the distortion between the distorted reconstruction frame and the original frame.
Min-Max differential (MMD) method (Karadimitriou and Tyler 1997) and centoid method (Karadimitriou and Tyler 1998). 3 Video Coding Tools 29 average image and the difference images between central and non-central images are compressed individually. Yue et al. (2012) proposed to only compress image thumbnail and image local feature descriptor, and reconstruct high quality image with similar image patches retrieved from cloud. Extending it to video compression, Wang et al. (2014) imitated the multi-view coding method to jointly compress several near-duplicate videos by referring the video itself or other coded similar videos.
264, integer transform is developed to do DCT-like transform with simple integer arithmetic (Bjontegaard 1997; Malvar et al. 2003), which can also avoid the inverse-transform mismatches. Considering the efficiency of different transform block size, the large transforms can provide a better energy compaction and a better preservation of detail than small transforms but larger transforms introduce more ringing artifacts caused by quantization than small transforms. 264 to improve the coding efficiency, which applies the same transform size as the prediction block size instead of only 4 × 4 transform.