R&D status of ERIC-7 and MADIS: two systems for MPEG-7 indexing/search of audio-visual content
Bibliographic record
Abstract
We present the research and development status of two MPEG-7 indexing/search systems under development at the Computer Research Institute of Montreal (CRIM). The first (called ERIC-7) targets content-based encoding of still images and is mainly designed to experiment with the various aspects of the visual MPEG-7/XML schema with the help of analysis and exploration tools. The interface allows navigating graphically among the various descriptors in the XML files and through interactive UML graphics. The second (called MADIS) aims at providing a practical audiovisual MPEG-7 indexing/retrieval tool, within the framework of a light architecture. MADIS is designed to (1) be fully MPEG-7 compliant, (2) address both encoding and search, (3) combine audio, speech and visual modalities and (4) have search capability on the Internet. MADIS currently targets content-based indexing of documentary films. Keywords: MPEG-7, video processing, multimedia systems, content-based image retrieval, audio-visual indexing 1.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".