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144 lines
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HTML
144 lines
6.0 KiB
HTML
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<h1><a href="http://localhost:4000/videobeaux/">videobeaux</a></h1>
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<img src="/videobeaux/assets/img/videobeaux.png" alt="Logo" />
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<p>The friendly multilateral video toolkit built for artists by artists.</p>
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<p class="view"><a href="https://github.com/schwwaaa/videobeaux">View the Project on GitHub <small>schwwaaa/videobeaux</small></a></p>
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</header>
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<section>
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<h1 id="num_edits">num_edits</h1>
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<h2 id="description">Description</h2>
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<p>Analyzes a timeline or cut structure to count edits, transitions, or shot boundaries for editorial statistics, QC, or structural analysis.</p>
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<h2 id="purpose">Purpose</h2>
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<p><code class="language-plaintext highlighter-rouge">num_edits</code> provides fast editorial metrics by identifying the number of cuts, transitions, or shot boundaries in a video.<br />
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This helps with:</p>
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<ul>
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<li>QC validation,</li>
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<li>editorial pacing analysis,</li>
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<li>archive metadata generation,</li>
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<li>automated editing metrics,</li>
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<li>machine-learning dataset preparation.</li>
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</ul>
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<h2 id="how-it-works">How It Works</h2>
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<ol>
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<li><strong>Shot Boundary Detection</strong><br />
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Uses visual or luminance-based thresholds to detect edits between shots.</li>
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<li><strong>Event Counting</strong><br />
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Each boundary event increments the edit count.</li>
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<li><strong>Reporting</strong><br />
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The final count is embedded or returned based on videobeaux pipeline logic.</li>
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<li><strong>Speed-Optimized</strong><br />
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Designed for rapid scanning across long-form footage or batch libraries.</li>
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</ol>
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<h2 id="program-template">Program Template</h2>
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<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>videobeaux -P num_edits \
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-i input.mp4 \
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-o output.mp4 \
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--count VALUE
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</code></pre></div></div>
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<h2 id="arguments">Arguments</h2>
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<ul>
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<li><strong>count</strong> — Enables or configures the edit-counting logic. Usually <code class="language-plaintext highlighter-rouge">true</code> or a mode such as <code class="language-plaintext highlighter-rouge">basic</code> vs <code class="language-plaintext highlighter-rouge">detailed</code> depending on implementation.</li>
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</ul>
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<h2 id="real-world-example">Real World Example</h2>
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<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>videobeaux -P num_edits \
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-i myvideo.mp4 \
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-o num_edits_styled.mp4 \
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--count true
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</code></pre></div></div>
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<h2 id="technical-notes">Technical Notes</h2>
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<ul>
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<li>Detection may use pixel-wise difference, histogram deltas, or scene-change detection filters under the hood.</li>
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<li>Thresholds vary with footage type; high-motion sequences may generate more detected edits.</li>
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<li>The tool does not modify video; it only analyzes structure.</li>
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<li>Useful in workflows that require edit-density analytics or QC verification.</li>
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</ul>
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<h2 id="recommended-usage">Recommended Usage</h2>
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<ul>
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<li>Counting edits in commercials, music videos, or high-cut-rate content.</li>
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<li>Generating metadata for cataloging systems or research datasets.</li>
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<li>Automated QC workflows to detect unexpected edit patterns.</li>
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<li>Comparing pacing between cuts or across versions of an edit.</li>
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</ul>
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<h2 id="quality-tips">Quality Tips</h2>
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<ul>
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<li>Use higher thresholds for shaky or handheld footage to avoid false positives.</li>
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<li>Use lower thresholds when analyzing animation or motion-poor material.</li>
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<li>For statistical studies, run the tool consistently with identical settings across all sources.</li>
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</ul>
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</section>
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<footer>
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<p>This project is maintained by <a href="https://github.com/schwwaaa">schwwaaa</a></p>
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<p><small>Hosted on GitHub Pages — Theme by <a href="https://github.com/orderedlist">orderedlist</a></small></p>
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