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Render soft bing alg list into table view
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‎docs/soft-bindings.mdx‎

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---
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id: sb-algs
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title: Soft binding algorithm list
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hide_table_of_contents: true
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---
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C2PA specifies a mechanism for recovering a C2PA Manifest for an asset, for example when the metadata containing the C2PA Manifest has been stripped. This mechanism is a [soft binding](https://c2pa.org/specifications/specifications/2.0/specs/C2PA_Specification.html#_soft_binding) (for example an invisible watermark or content fingerprint). The soft binding is used to look-up the C2PA Manifest within a Manifest Repository. The soft binding is described by the [soft binding assertion](https://c2pa.org/specifications/specifications/2.0/specs/C2PA_Specification.html#_soft_bindings).
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The soft binding assertion contains a field `alg` that serves to uniquely identify the algorithm used to compute the soft binding. The Soft Binding Algorithm List is an authoritative list of soft binding algorithm names that may be used as identifiers within the `alg` field. Entries in the list also contain additional information on the algorithms.
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import JSONToTable from '@site/src/components/JSONToTable';
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This table is generated from a static JSON file.
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<JSONToTable />

‎sidebars.js‎

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label: 'Task planning & roadmap',
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id: 'roadmap',
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},
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{
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type: 'doc',
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label: 'Soft binding algorithm list',
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id: 'sb-algs',
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},
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],
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};
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‎src/components/JSONToTable.js‎

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import React, { useState, useEffect } from 'react';
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// Helper function to flatten nested objects
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const flattenObject = (obj, prefix = '') => {
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let result = {};
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for (const key in obj) {
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if (obj.hasOwnProperty(key)) {
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const newKey = prefix ? `${prefix}.${key}` : key;
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// Handle nested objects
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if (typeof obj[key] === 'object' && obj[key] !== null) {
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if (Array.isArray(obj[key])) {
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// If it's an array, join its elements into a comma-delimited string
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result[newKey] = obj[key].join(', ');
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} else {
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// If it's an object, recurse to flatten it
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Object.assign(result, flattenObject(obj[key], newKey));
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}
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} else {
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result[newKey] = obj[key];
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}
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}
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}
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return result;
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};
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const JSONToTable = () => {
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const [jsonData, setJsonData] = useState(null);
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const [error, setError] = useState(null);
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// Fetch the JSON data when the component mounts
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useEffect(() => {
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fetch('/sb-alg-list.json') // Path to the JSON file in the static folder
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.then((response) => {
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if (!response.ok) {
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throw new Error('Failed to fetch the JSON file');
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}
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return response.json();
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})
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.then((data) => {
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setJsonData(data);
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setError(null); // Clear any previous errors
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})
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.catch((err) => {
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setError(err.message);
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setJsonData(null); // Reset data in case of error
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});
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}, []);
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// Function to generate table headers dynamically
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const generateTableHeaders = (data) => {
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if (data && Array.isArray(data)) {
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const flattenedData = data.map((item) => flattenObject(item));
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const keys = Array.from(new Set(flattenedData.flatMap(Object.keys)));
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return keys.map((key) => <th key={key}>{key}</th>);
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}
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return [];
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};
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// Function to generate table rows dynamically
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const generateTableRows = (data) => {
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console.log(data);
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if (data && Array.isArray(data)) {
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const flattenedData = data.map((item) => flattenObject(item));
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return flattenedData.map((row, rowIndex) => (
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<tr key={rowIndex}>
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{Object.values(row).map((value, index) => (
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<td key={index}>{value}</td>
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))}
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</tr>
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));
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}
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return [];
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};
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return (
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<div>
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{error && <p style={{ color: 'red' }}>{error}</p>}
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{jsonData && Array.isArray(jsonData) && (
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<table border="1" style={{ width: '100%', borderCollapse: 'collapse' }}>
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<thead>
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<tr>{generateTableHeaders(jsonData)}</tr>
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</thead>
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<tbody>{generateTableRows(jsonData)}</tbody>
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</table>
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)}
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{jsonData && !Array.isArray(jsonData) && (
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<p>No data found in the JSON. Expected an array of objects.</p>
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)}
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</div>
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);
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};
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export default JSONToTable;

‎static/sb-alg-list.json‎

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[
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{
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"identifier": 1,
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"alg": "com.digimarc.validate.1",
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"type": "watermark",
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"decodedMediaTypes": ["audio", "video", "text", "image"],
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"entryMetadata": {
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"description": "Digimarc Validate Digital Watermarking algorithm",
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"dateEntered": "2024-05-17T17:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://www.digimarc.com/products/digital-content-authentication"
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}
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},
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{
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"identifier": 2,
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"alg": "org.atsc.a336",
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"type": "watermark",
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"decodedMediaTypes": ["audio", "video", "image"],
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"entryMetadata": {
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"description": "ATSC watermarking (A/334, A/335, A/336)",
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"dateEntered": "2024-05-17T15:43:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://www.atsc.org/atsc-documents/a3362017-content-recovery-redistribution-scenarios/"
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}
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},
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{
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"identifier": 3,
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"alg": "io.iscc.v0",
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"type": "fingerprint",
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"decodedMediaTypes": ["text", "image", "audio", "video", "application"],
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"entryMetadata": {
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"description": "ISO 24138 - International Standard Content Code (ISCC) V0 algorithm",
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"dateEntered": "2024-05-17T16:00:00Z",
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"contact": "[email protected]",
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"informationalUrl": "https://www.iso.org/standard/77899.html"
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}
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},
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{
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"identifier": 4,
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"alg": "com.adobe.trustmark.Q",
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"type": "watermark",
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"decodedMediaTypes": ["image"],
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"entryMetadata": {
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"description": "Adobe Trustmark variant Q",
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"dateEntered": "2024-05-17T17:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://github.com/adobe/trustmark/"
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}
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},
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{
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"identifier": 5,
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"alg": "com.adobe.trustmark.C",
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"type": "watermark",
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"decodedMediaTypes": ["image"],
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"entryMetadata": {
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"description": "Adobe Trustmark variant C",
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"dateEntered": "2024-05-17T17:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://github.com/adobe/trustmark/"
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}
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},
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{
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"identifier": 6,
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"alg": "com.adobe.icn.dense",
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"type": "fingerprint",
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"decodedMediaTypes": ["image"],
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"entryMetadata": {
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"description": "Adobe Image Comparator Network Dense Fingerprint",
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"dateEntered": "2024-05-17T17:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://openaccess.thecvf.com/content/CVPR2021W/WMF/html/Black_Deep_Image_Comparator_Learning_To_Visualize_Editorial_Change_CVPRW_2021_paper.html"
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}
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},
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{
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"identifier": 7,
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"alg": "ai.steg.api",
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"type": "watermark",
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"decodedMediaTypes": ["image", "video", "application"],
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"entryMetadata": {
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"description": "Steg.AI invisible watermarking",
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"dateEntered": "2024-05-20T10:50:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wengrowski_Light_Field_Messaging_With_Deep_Photographic_Steganography_CVPR_2019_paper.pdf"
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}
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},
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{
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"identifier": 8,
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"alg": "ai.trufo.gen1.image",
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"type": "watermark",
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"decodedMediaTypes": ["image"],
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"entryMetadata": {
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"description": "Trufo image watermark.",
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"dateEntered": "2024-08-14T15:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://trufo.ai/publications/"
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}
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},
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{
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"identifier": 9,
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"alg": "ai.trufo.gen1.image-lite",
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"type": "watermark",
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"decodedMediaTypes": ["image"],
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"entryMetadata": {
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"description": "Trufo image watermark (lite version).",
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"dateEntered": "2024-08-14T15:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://trufo.ai/publications/"
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}
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},
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{
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"identifier": 10,
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"alg": "app.overlai.watermark.1",
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"type": "watermark",
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"decodedMediaTypes": ["image"],
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"entryMetadata": {
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"description": "Overlai Watermark version 1",
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"dateEntered": "2024-08-14T16:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://overlai.app/watermark"
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}
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},
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{
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"identifier": 11,
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"alg": "tv.kinetiq.watercast.48.1",
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"type": "watermark",
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"decodedMediaTypes": ["video"],
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"entryMetadata": {
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"description": "Teletrax Watermarking algorithm",
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"dateEntered": "2024-10-16T17:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://kinetiq.tv/broadcasting-syndication/"
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}
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},
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{
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"identifier": 12,
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"alg": "castLabs.watermark.1",
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"type": "watermark",
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"decodedMediaTypes": ["video"],
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"entryMetadata": {
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"description": "castLabs Single Frame Forensic Watermarking",
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"dateEntered": "2024-11-13T12:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://castlabs.com/image-watermarking/"
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}
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},
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{
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"identifier": 13,
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"alg": "com.adobe.trustmark.P",
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"type": "watermark",
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"decodedMediaTypes": ["image"],
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"entryMetadata": {
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"description": "Adobe Trustmark variant P",
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"dateEntered": "2025-02-05T17:00:00.000Z",
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"contact": "[email protected]",
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"informationalUrl": "https://github.com/adobe/trustmark/"
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}
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}
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]

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