MétaCan
Menu
Back to cohort
Record W2358849928

A Watermarking Algorithm Based on Block Energy Analysis of the Wavelet Transform Parameters and Chaotic Map

2008· article· en· W2358849928 on OpenAlexvenueno aff
Xiaohong Jiang

Bibliographic record

VenueMicrocomputer applications · 2008
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Steganography and Watermarking Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsDiscrete wavelet transformComputer scienceStationary wavelet transformWavelet transformAlgorithmSecond-generation wavelet transformWavelet packet decompositionHarmonic wavelet transformWaveletChaoticS transformBlock (permutation group theory)Energy (signal processing)Pattern recognition (psychology)Artificial intelligenceMathematicsStatistics
DOInot available

Abstract

fetched live from OpenAlex

The discrete wavelet transform(DWT)has a localized characteristic in time-frequency domain and a transform mechanism that accords with human visual system.And chaotic sequence has such attributes as certainty、random-like and unpredictable。Based on block energy analysis of the wavelet transform parameters,a watermarking algorithm is proposed which based on block energy analysis of the wavelet transform parameters and chaotic map。The algorithm is robust and the its resistance to the attack of cryptanalysis is better。

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueMicrocomputer applicationsSame topicAdvanced Steganography and Watermarking TechniquesFrench-language works237,207