Integrated hardware-software platform for image processing applications
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
This paper illustrates the design and implementation of an integrated hardware-software platform for image processing. This platform is versatile as it is configurable at run time, has low power consumption and requires minimal processing power from the host. Thus, the illustrated solution makes complex multimedia processing tasks feasible on handheld devices with low processing power and limited battery life. The concept is illustrated by a prototype system for image compression. The hardware part is an FPGA board that can be plugged into a standard PCMCIA socket on any portable system. The FPGA is configured at run time to perform block discrete cosine transforms (DCT). The software part running on the host computer is responsible for configuring the device at run time and sending chunks of input data and getting back the computed results. The design was tested successfully and performs 8*8 block DCT in 64 clock cycles running at 60MHz. An alternative hardware-efficient design using distributed arithmetic was also considered. The complete hardware/software prototype was integrated as a part of MPEG-4 encoder software.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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