A Hybrid Local and Server-Based Large Scale Image Retrieval System and its Applications
Bibliographic record
Abstract
著者らは実空間とWeb空間との連動を目的とし，TV CMや屋外広告等をスマートフォンで画像認識するアプリを開発した．本技術により，スマートフォンをかざす対象，場所，連動ゲームのスコアに応じて異なる関連情報を提示することでユーザに新たな体験を提供するとともに，放送と通信とにおけるマルチスクリーンのシームレスな連携を実現した．事前学習した特徴量を1/10以下に圧縮し，圧縮状態のまま認識することでスマートフォンでもリアルタイム動作を実現し，認識後に起動するゲームではTV CMと同じくスマートフォンに閉じ込められている男女を再会させる演出で，認識対象等に応じたマルチストーリー分岐を用意した．本稿では，全国放映されたTV CVでも多くのユーザが同時利用できる大規模画像検索技術と，高臨場感を醸し出す背景領域抽出技術，および当該アプリを一般公開した効果や反響について報告する．
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".