International Journal of Computer Vision
An Improved Video Compression Algorithm for Lane Surveillance
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Introduction to Information Retrieval
Introduction to Information Retrieval
A Novel RS-based Key Frame Representation for Video Mining in Compressed-Domain
WKDD '09 Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining
Modified Advanced Image Coding
CANS '08 Proceedings of the 2008 First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing
Region growing with automatic seeding for semantic video object segmentation
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
The spatial relationship of DCT coefficients between a block andits sub-blocks
IEEE Transactions on Signal Processing
Shot clustering techniques for story browsing
IEEE Transactions on Multimedia
Video browsing system based on compressed domain feature extraction
IEEE Transactions on Consumer Electronics
Wipe scene-change detector based on visual rhythm spectrum
IEEE Transactions on Consumer Electronics
Low-complexity transform and quantization in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Effective Fades and Flashlight Detection Based on Accumulating Histogram Difference
IEEE Transactions on Circuits and Systems for Video Technology
Personalized image retrieval in compressed domain based on user interest model
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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A fast and simple method for content based retrieval using the DC-pictures of H.264 coded video without full decompression is presented. Compressed domain retrieval is very desirable for content analysis and retrieval of compressed image and video. Even though, DC-pictures are among the most widely used compressed domain indexing and retrieval methods in pre H.264 coded videos, they are not generally used in the H.264 coded video. This is due to two main facts, first, the I-frame in the H.264 standard are spatially predicatively coded and second, the H.264 standard employs Integer Discrete Cosine Transform. In this paper we have applied color histogram indexing method on the DC-pictures derived from H.264 coded I-frames. Since the method is based on independent I-frame coded pictures, it can be used either for video analysis of H.264 coded videos, or image retrieval of the I-frame based coded images such as advanced image coding. The retrieval performance of the proposed algorithm is compared with that the fully decoded images. Simulation results indicate that the performance of the proposed method is very close to the fully decompressed image systems. Moreover the proposed method has much lower computational load.