Abstract
In image compression and video coding, quantization error helps to reduce the amount of information of the high frequency components. However, in temporal prediction the quantization error contributes its value as noise in the total residual information. Therefore, the residual signal of the inter
Highlights
The growth of Internet of Things (IoT) in industry has been garnering substantial momentum in the last few years
Comparing to the conventional Hybrid (DPCM) video coding scheme, the coding time and bitrate of this scheme depend on three more factors: the complexity of motion detection algorithm, block based filters, and static percentage
The paper presented how the quantization error affects on stationary blocks
Summary
The growth of Internet of Things (IoT) in industry has been garnering substantial momentum in the last few years. Compared to other video codecs, MJPEG requires a minimum hardware resource and is strongly recommended for limited systems Another advantage is that it is only based on JPEG standard, it is widely supported and can be setup. H.265/HEVC is the successor of H.264/AVC video codec standard It achieves twice compression ratio as much as H.264/AVC [5] but requires more power full system to be implemented. HEVC standard is designed for high resolution video, up to 8192 × 4320 (8K UltraHigh-Definition (UHD)) At this moment, embedding HEVC into surveillance camera systems is quite limited because of the hardware constraints. Including quantization errors in residual information of static part decreases the compression ratio and the quality of the inter frame and increases the Entropy coding time.
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