Video Content Discrimination Using DCT Thresholding

The video frame is divided into multiple blocks, and each block is independently analyzed to determine whether it contains meaningful content or noise. This segmentation allows selective encoding of only those blocks that contain actual content changes, rather than encoding the entire frame uniformly.

Different encoding strategies are applied to different regions of the video frame based on local content characteristics. Blocks identified as containing noise are encoded with lower quality or skipped entirely, while blocks containing meaningful content are encoded with higher quality, optimizing the trade-off between fidelity and resource consumption.

The patent applies different encoding qualities to different spatial regions within the same frame. Content-containing blocks receive high-quality encoding to preserve subtle changes, while noise-dominated blocks receive low-quality or no encoding, thereby reducing total bit consumption without sacrificing perceptual quality.

Instead of applying uniform high-quality encoding across the entire frame, the patent applies high-quality encoding only partially to blocks that actually contain meaningful content. This partial action approach avoids the excessive bit consumption that would result from encoding all blocks at high quality.

The video processing task is segmented into block-level operations, where each block is independently evaluated for content presence. This segmentation reduces the computational complexity compared to frame-level analysis, as smaller blocks require fewer calculations and can be processed more efficiently by the CPU.

The patent extracts and removes noise components from the video data by identifying and excluding blocks that contain only noise from the encoding process. This extraction approach maintains data representation accuracy for meaningful content while avoiding the computational burden of processing and storing noise data.

The patent applies local quality assessment to each block, determining whether it contains content or noise. Blocks identified as non-content areas are encoded with reduced quality or skipped entirely, thereby significantly reducing the percentage of bits consumed by non-content areas while maintaining frame accuracy for content-containing regions.

The patent discards noise information in non-content blocks by not encoding them, rather than preserving all frame data. This selective discarding approach reduces bit consumption for non-content areas while the encoded content blocks recover and preserve the essential visual information needed for accurate frame representation.