Object-based transcoding for adaptable video content delivery

2001 ◽  
Vol 11 (3) ◽  
pp. 387-401 ◽  
Author(s):  
A. Vetro ◽  
Huifang Sun ◽  
Yao Wang
2001 ◽  
Vol 01 (03) ◽  
pp. 507-526 ◽  
Author(s):  
TONG LIN ◽  
HONG-JIANG ZHANG ◽  
QING-YUN SHI

In this paper, we present a novel scheme on video content representation by exploring the spatio-temporal information. A pseudo-object-based shot representation containing more semantics is proposed to measure shot similarity and force competition approach is proposed to group shots into scene based on content coherences between shots. Two content descriptors, color objects: Dominant Color Histograms (DCH) and Spatial Structure Histograms (SSH), are introduced. To represent temporal content variations, a shot can be segmented into several subshots that are of coherent content, and shot similarity measure is formulated as subshot similarity measure that serves to shot retrieval. With this shot representation, scene structure can be extracted by analyzing the splitting and merging force competitions at each shot boundary. Experimental results on real-world sports video prove that our proposed approach for video shot retrievals achieve the best performance on the average recall (AR) and average normalized modified retrieval rank (ANMRR), and Experiment on MPEG-7 test videos achieves promising results by the proposed scene extraction algorithm.


Author(s):  
Negin Golrezaei ◽  
Karthikeyan Shanmugam ◽  
Alexandros G. Dimakis ◽  
Andreas F. Molisch ◽  
Giuseppe Caire

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 29219-29227 ◽  
Author(s):  
Yuqi Fan ◽  
Bing Yang ◽  
Donghui Hu ◽  
Xiaohui Yuan ◽  
Xiong Xu

Kahn at Penn ◽  
2017 ◽  
Author(s):  
Nesrine Ben Hassine ◽  
Pascale Minet ◽  
Mohammed-Amine Koulali ◽  
Mohammed Erradi ◽  
Dana Marinca ◽  
...  

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