A Hardware Implementation of Real-Time Video Deblocking Using Shifted Thresholding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Video compression has become very important as demand has increased for the storage and transmission of digital video content. Popular video compression schemes like MPEG encoding make use of block-transform coding techniques which are susceptible to blocking artifacts. Recently, an efficient deblocking algorithm based on the concept of shifted thresholding has been proposed. This algorithm uses only integer arithmetic and replaces division operations with bit shifting. This paper proposes a new hardware architecture for the implementation of video deblocking using shifted thresholding. A prototype system for high performance video deblocking using a FPGA (field programmable gate array) board is described. The prototype system leverages the reduced hardware complexity of the shifted thresholding algorithm to cost-effectively implement video deblocking on a FPGA board.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it