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Record W1529017486 · doi:10.1109/ispa.2003.1296879

Reliable adaptive watermarking scheme integrated with JPEG2000

2004· article· en· W1529017486 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Compression Techniques
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsWatermarkDigital watermarkingJPEG 2000Quantization (signal processing)Computer scienceComputer visionImage compressionArtificial intelligenceWaveletTransform codingEncoderCompression ratioData compressionCompression (physics)AlgorithmImage processingImage (mathematics)Discrete cosine transformEngineering

Abstract

fetched live from OpenAlex

In this paper, a new digital watermarking method, integrated with the state-of-the-art image compression standard - JPEG2000, is developed. The binary digital watermark is embedded in the quantized wavelet coefficients in subbands with intermediate resolution after the stage of quantization and recovered before dequantization during decompression. Different from previously proposed JPEG2000 based watermarking schemes, the compression ratio, regarded as an important parameter, is used to design the new adaptive watermark encoder. The strength of watermark is designed as proportional to the compression ratio such that the embedded watermark can survive the following code-stream rate allocation procedure without degrading the image quality. The experimental results show that the proposed system is robust to common image distortions and processing.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.792
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.232
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations8
Published2004
Admission routes1
Has abstractyes

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