Apr 4, 2024 · They compute a distance between both sets (based on KL divergence and L2), using it as a consistency score for timestamp tampering detection. Even though the ...

Feb 21, 2024 · Most media forensics methods analyze the high-level data (e.g., pixels from videos, temporal signals from audios) decoded from compressed media data. Since ...

Apr 6, 2024 · We propose a vision based technique to locate the referenced content and extract metadata needed to (in subsequent work) inline a content summary into the audio ...

Oct 31, 2023 · Alam, Cresci [16] reviewed disinformation detection studies and divided them according to content features (image, speech, video, networked, and temporal ...

May 3, 2024 · Identify inconsistencies or anomalies in metadata that may indicate manipulation or synthetic generation. 8.6) Deep Learning-based Detection: State-of-the-art ...

Feb 27, 2024 · Combining metadata analysis and deep learning-based detection with CAT-NET ensures comprehensive coverage and reliable detection of tampered documents, ...

May 9, 2024 · Deepfake detection tools play a crucial role in identifying and mitigating manipulated media content. These tools detect and reduce the impact of ...

Jan 9, 2024 · for video shot segmentation based on global statistics. The system construct Temporal Maximum Occurrence. Frame as optimum demonstration of all frames, ...

May 9, 2024 · A Deepfake is synthetic content which is generated using existing data and a neural network to produce a convincing new representation.

7 days ago · Detect edit points using Scene Edit Detection · XMP ... Metadata is divided into two general categories: static metadata and temporal metadata. ... based, comments ...