A new time distributed DCT architecture for MPEG-4 hardware reference model
Bibliographic record
Abstract
This paper presents the design of a new time distributed architecture (TDA) which outlines the architecture (ISO/IEC JTC1/SC29/WG11 MPEG2002/M8565) submitted to MPEG4 Part9 committee and included in the ISO/IEC JTC1/SC29/WG11 MPEG2002/9115N document. The proposed TDA optimizes the two-dimensional discrete cosine transform (2-D-DCT) architecture performance. It uses a time distribution mechanism to exploit the computational redundancy within the inner product computation module. The application specific requirements of input, output and coefficients word length are met by scheduling the input data. The coefficient matrix uses linear mappings to assign necessary computation to processor elements in both space and time domains. The performance analysis shows performance savings in excess of 96% as compared to the direct implementation and more than 71% as compared to other optimized application specific architectures for DCT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".