This paper describes a new method to create sequences with special video effects, emphasizing the primary impression of the images. These special effects are produced so that background areas are blurred while the resolution of the main image remains unchanged. We show how the above sequences can be easily obtained by using motion vectors and temporal filters. This resolves some problems inherent in more conventional methods. Secondly, we propose a method for blurring the background using the same motions used for the main image. When the motion differences between the main portion and background areas vary, the resolution fluctuations can make the viewers feel uncomfortable. Finally, we propose a method to reduce resolution fluctuations in the background areas.
In order to use video materials efficiently and create a variety of programs, the characteristics, descriptions, suitability of materials metadata is as important as the materials themselves. The framework needed to manage this metadata is very important. NHK has developed a new program production management system called Beatus. This system covers all processes from planning, gathering, scripting, editing, broadcasting, to archiving. It is designed to; (1) implement a more efficient and creative production environment; (2) store video materials containing metadata, cut by cut; (3) utilize one item in a variety of ways and (4) develop an integrated archival data-base. Beatus has already been introduced to NHK's production field, and many programs are currently being produced using Beatus.
Maintaining picture quality is an essential requirement for video watermarking, and this paper shows that watermarks are less perceptible when they are embedded where picture contents are moving. It also describes a new watermarking method that uses motion detection to preferentially allocate watermarks to macro-blocks containing motion. As well it presents the results of experimental evaluations which demonstrate that this method significantly reduces degradation in picture quality. Further it shows that, for the same picture quality after MPEG encoding and decoding, 30% more watermarks can be embedded than with the previous method. This new method would be most effective when implemented in MPEG encoders, which already have the necessary motion analysis functions; it can also be used in content-distribution systems.
This paper describes a method for detecting a signature from BPCS-Steganography by attacking it with a statistical analysis of images. BPCS is a technique that hides a large amount of data in digital images. It divides bit-planes produced through bit-plane decomposition from the images into sub-binary images, and embeds noise-like secret data in the sub-images. These sub-images are then extracted by comparing measures known as complexity and threshold values. We consider a complexity histogram representing the relative occurence frequency of the various noisy regions in each bit-plane. The complexity histograms of the sub-images, in which secret data has been embedded, nearly fit a normal distribution for the image containing secret data. Using the correlation coefficients between the complexity histograms, regarded as a BPCS signature, this method distinguishes between natural images and images with secret data embedded. In our experiments, we were able to accurately detecte these signatures using this method.