A longest common subsequence approach to detect cut and wipe video transitions

Brazilian Symposium of Computer Graphic and Image Processing

Volumn , Issue , 2004, Pages 154-160

  Bezerra, Francisco Nivando ^a  

^a UNIVERSITY OF FORTALEZA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

LONGEST COMMON SUBSEQUENCE; SCENE STRUCTURES; VIDEO SLICES; VIDEO TRANSITION DETECTION;

IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGE RETRIEVAL; PATTERN RECOGNITION;

VIDEO SIGNAL PROCESSING;

EID: 16244371294     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRA.2004.1352956     Document Type: Conference Paper

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