This paper presents an automated video editing method to enhance aesthetic quality of casual videos in both temporal and spatial domains. In the temporal domain, our method divides the given video into several shots and renes the camera motion of each shot. In the spatial domain, our method adjusts the color characteristics of each shot to make them similar to those of professional videos. Results of the subjective evaluation demonstrate that the proposed method successfully improves the aesthetic quality of casual videos.
|Title of host publication||SIGGRAPH Asia 2017 Posters, SA 2017|
|Publisher||Association for Computing Machinery, Inc|
|Publication status||Published - 2017 Nov 27|
|Event||SIGGRAPH Asia 2017 Posters, SA 2017 - Bangkok, Thailand|
Duration: 2017 Nov 27 → 2017 Nov 30
|Name||SIGGRAPH Asia 2017 Posters, SA 2017|
|Conference||SIGGRAPH Asia 2017 Posters, SA 2017|
|Period||17/11/27 → 17/11/30|
Bibliographical noteFunding Information:
This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (R7124-16-0004, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding).
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design