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…caching - Corrected references to 'AI-powered' visual detection, accurately describing it as 'algorithm-driven' using pure Kotlin (pHash, SAD, Laplacian variance). - Updated visual detection processing details to mention sequential frame processing via `MediaExtractor.advance()` instead of seek-based sampling. - Added documentation for the new 'Waveform Caching' optimization using `LruCache` in `CustomVideoSeeker`. - Clarified that silence detection uses absolute `rawAmplitudes` to prevent false amplification of quiet clips. - Fixed markdown indentation for nested bullet points under the Detection Engine section. Co-authored-by: tazztone <62671577+tazztone@users.noreply.github.com>
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- Updated target SDK from 35 to 36 under Prerequisites to match the `libs.versions.toml` configuration. Co-authored-by: tazztone <62671577+tazztone@users.noreply.github.com>
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Updated the README.md to ensure the documentation accurately reflects recent technical implementations regarding the visual smart detection engine (algorithm-driven vs AI-powered, processing mechanism), waveform caching, and silence detection amplitude logic. Also fixed minor formatting issues.
PR created automatically by Jules for task 16793316726719096554 started by @tazztone