Title
  
  
  
    
    
      Computational complexity reduction of intra-frame prediction in MPEG-2/H.264 video transcoders
    
    
  
  
    Date Issued
  
  
  
    
    
      01 December 2005
    
    
  
  
    Resource Type
  
  
    
      Conference Proceeding
    
  
  
    Author(s)
  
  
    
  
  
    
  
  
    Abstract
  
  
  
   
    
    
      
    
 
    
 
  
  
        
        MPEG-2 is the most widely digital video-encoding standard in use nowadays. It is being widely used in the development and deployment of digital TV services, DVD and video-on-demand services. However, recent developments have given birth to the H.264/AVC, offering better bandwidth to video quality ratios than MPEG2. It is expected that the H.264/AVC will take over the digital video market, replacing the use of MPEG-2 in most digital video applications. The complete migration to the new video-coding algorithm will take several years given the wide scale use of MPEG-2 in the market place today. This creates an important need for transcoding technologies for converting the large volume of existent video material from the MPEG-2 into the H.264 format and vice versa. However, given the significant differences between the MPEG-2 and the H.264 encoding algorithms, the transcoding process of such systems is much more complex to other heterogeneous video transcoding processes. In this paper, we introduce and evaluate a novel infra-frame prediction algorithm to be used as part of a high-efficient MPEG-2 to H.264 transcoder. Our evaluation results show that the proposed algorithm considerable reduces the complexity involved in the intra-frame prediction: a key operation in the transcoding process. © 2005 IEEE.
      
    
  
    Start page
  
  
  
    
    
      707
    
    
  
  
    End page
  
  
  
    
    
      710
    
    
  
  
    Volume
  
  
  
    
    
      2005
    
    
  
  
    Scopus EID
  
  
  
    
    
      2-s2.0-33750560609
    
    
  
  
    ISBN
  
  
  
    
    
      0780393325
    
      9780780393325
    
    
  
  
    Source
  
  
  
    
    
      IEEE International Conference on Multimedia and Expo, ICME 2005
    
    
  
  
    Resource of which it is part
  
  
  
    
    
      IEEE International Conference on Multimedia and Expo, ICME 2005
    
    
  
            Sources of information: 
            
            
                     Directorio de Producción CientÃfica
            
            
            
                     Scopus