CVEPS - a compressed video editing and parsing system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Exploring functionalities in the compressed image/video domain
ACM Computing Surveys (CSUR)
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Information retrieval on the web
ACM Computing Surveys (CSUR)
Sampling algorithms: lower bounds and applications
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Digital photo similarity analysis in frequency domain and photo album compression
Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
A Survey of MPEG-1 Audio, Video and Semantic Analysis Techniques
Multimedia Tools and Applications
Unified feature analysis in JPEG and JPEG 2000-compressed domains
Pattern Recognition
Using audio and video features to classify the most dominant person in a group meeting
Proceedings of the 15th international conference on Multimedia
Manipulating lossless video in the compressed domain
MM '09 Proceedings of the 17th ACM international conference on Multimedia
DCT-Domain image retrieval via block-edge-patterns
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Image desynchronization for secure collusion-resilient fingerprint in compression domain
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
| Hi-index | 0.00 |
As massive amount of visual materials are captured and stored in visual information systems, effective and efficient image indexing and manipulation techniques are required. Most visual materials in visual information systems are stored in some compressed forms. Therefore, it is desirable to explore image technologies for feature extraction and image manipulation in the compressed domain. In other words, image feature extraction and manipulation are performed on compressed images/video without decoding, or with minimal decoding only. Although the compressed-domain approach imposes many constraints, it provides great potential for reducing computational complexity, because of reduction of the amount of data after compression. This paper provides an overview of our research in this area. Specifically, it describes the results and the future directions of our work on compressed-domain texture feature extraction, image matching, image manipulation, and video indexing.