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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Broadcast Engineering
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The Korean Institute of Broadcast and Media Engineers
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Volume & Issues
Volume 5, Issue 2 - Dec 2000
Volume 5, Issue 1 - Jun 2000
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Statistical Motion Activity Descriptor for Video Retrieval
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 2~9
This paper presents a statistical motion activity description method and video retrievals by using the intensity and directions of the extracted motion vectors from video sequence. Since the proposed method can represent temporal and spatial cognitive characteristics of an entire video, several images between key frames, and images in a certain interval, it can be effectively applied to digital video services such as video retrieval, surveilance, multimedia database, and broadcasting filterings. In the paper, the effectiveness of the proposed algorithm is shown with a lot of shots of MPEG-7 video dataset.
MPEG-7 Texture Descriptor
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 10~22
In this paper, we present a texture description method as a standardization of multimedia contents description. Like color, shape, object and camera motion information, texture is one of very important information in the visual part of international standard (MPEG-7) in multimedia contents description. Current MPEG-7 texture descriptor has been designed to fit human visual system. Many psychophysical experiments give evidence that the brain decomposes the spectra into perceptual channels that are bands in spatial frequency. The MPEG-7 texture description method has employed Radon transform that fits with HVS behavior. By taking average energy and energy deviation of HVS channels, the texture descriptor is generated. To test the performance of current texture descriptor, experiments with MPEG-7 Texture data sets of T1 to T7 are performed. Results show that the current MPEG-7 texture descriptor gives better retrieval rate and fast and fast extraction time for texture feature.
A Texture Browsing Descriptor based on the Gabor Wavelets
Park, Yanglim ; Hyundoo Shin ; B. S Manjunath ; Peng Wu ;
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 23~30
An Edge Histogram Descriptor for MPEG-7
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 31~40
In this paper, we propose an edge histogram to efficiently represent the edge distribution in the image for MPEG-7. To this end, we adopt global, semi-global, and local edge histogram bins. Also, we extract the edge information from the image in terms of image blocks rather than pixels, which reduces the extraction complexity and is also applicable to the block-based compression standards such as MPEG-1, and 2. Experimental results show that the proposed method yields better retrieval accuracy and feature extraction speed comparing to other non-homogeneous texture descriptors of MPEG-7 including the wavelet-based descriptor and local edge-based descriptor.
Surveillance Video Retrieval based on Object Motion Trajectory
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 41~49
In this paper, we propose a new method of indexing and searching based on object-specific features at different semantic levels for video retrieval. A moving trajectory model is used as an indexing key for accessing the individual object in the semantic level. By tracking individual objects with segmented data, we can generate motion trajectories and set model parameters using polynomial curve fitting. The proposed searching scheme supports various types of queries including query by example, query by sketch, and query on weighting parameters for event-based video retrieval. When retrieving the interested video clip, the system returns the best matching event in the similarity order.
Charactor Image Retrieval Using Color and Shape Information
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 50~60
In this paper, we propose a new composite feature consists of both color and shape information that are suitable for the task of character image retrieval. This approach extracts shape-based information using Zernike moments from Y image in YCbCr color space. Zernike moments can extract shape-based features that are invariant to rotation, translation, and scaling. We also extract color-based information from the DCT coefficients of Cr and Cb image. This approach is good method reflecting human visual property and is suitable for web application such as large image database system and animation because higher retrieval rate has been achieved using only 36 features. In experiment, this method is applied to 3,834 character images. We confirmed that this approach brought about excellent effect by ANMRR(Average of Normalized, Modified Retrieval Rank), which is used in the evaluation measure of MPEG-7 color descriptor and BEP(Bull's Eye Performance), which is used in evaluation measure of shape descriptor in character image retrieval.
Image Retrieval using Adaptable Weighting Scheme on Relevance Feedback
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 61~67
Generally, relevance, feedback reflecting user's intention has been used to refine the refine the query conditions in image retrieval. However, in this paper, the usage of the relevance feedback is extended to the image database categorization so as to be accommodated to the user independent image retrieval. In our approach, to guarantee a desirable user-satisfactory performance descriptors and the elements of the descriptors corresponding unique features associatiated with of each image are weighted using the relevance feedback where experts can more lead rather than beginners do. In this paper, we propose a proper image description scheme consisting of global information, local information, descriptor weights and element weights based on color and texture descriptors. In addition, we also introduce an appropriate learning method based on the reliability scheme preventing wrong learning from abusive feedback.
A Novel Measure for Retrieval Efficiency of Image Database Retrieval System
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 68~81
This paper proposes a single metric to measure and evaluate the retrieval effectiveness of image database retrieval system that requires an ordered ranking. There are four conditions to be a good ranking system. First, the number of relevant images among the retrieved should be as large as possible. Secondly, the number of irrelevant images should be smaller. Third, the average rank of relevant images should be higher. Last, the relevant images should be clustered close together. The conventional evaluation measures only reflect a part of the conditions listed above, and the evaluated results are coarse or inaccurate. The proposed NDS, however, resolves all those problems. In order to prove the efficiency of the NDS, we generate patterns of
to evaluate and compare with other measures. The patterns were generated automatically by a recursive function call on the assumption the 'r' relevant images are retrieved within the range of 'n'.
Dynamic Summarization and Summary Description Scheme for Efficient Video Browsing
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 82~93
Recently, the capability of efficient access to the desired video content is of growing importance because more digital video data are available at an increasing rate. A video summary abstracting the gist from the entirety enables the efficient browsing as well as the fast skimming of the video contents. In this paper, we discuss a novel dynamic summarization method based on the detection of highlights which represent semantically significant content and the description scheme (DS) proposed to MPEG-7 aiming to provide summary description. The summary DS proposed to MPEG-7 allows for efficient navigation and browsing to the contents of interest through the functionalities of multi-level highlights, hierarchical browsing and user-customized summarization. In this paper, we also show the validation and the usefulness of the methodology for dynamic summarization and the summary DS in real applications with soccer video sequences.
Design and Application of User Preference Information Structure and Program Information Structure
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 94~101
User adaptive reception of broadcast programs includes the functionality such as the user adaptive filtering and browsing functionality. The user adaptive filtering means that the user can limit the list of programs to include only his/her favorite programs among hundreds of available programs. The user adaptive browsing means that the user can view a short summary of his/her selection in the way that he/she prefers. When the receiving system include the random access storage device, the automatic recording functionality of users favorite programs can be included. The user adaptive reception requires support from various meta-data such as user preference data and content description data. TV Anytime forum is a standardization effort to enable user adaptive TV reception, which means that the user can watch what s/he wants when s/he want in the way s/he wants. MPEG-7 includes not only the content description for broadcast applications but also other content descriptions such as structure information. This paper addresses the relationship between MPEG-7 and TV Anytime and investigates how MPEG-7 should be designed and be used to satisfy the requirements of the user adaptive reception of broadcast program.
Video Scene Segmentation Technique based on Color and Motion Features
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 102~112
The previous video structuring techniques are mainly limited to shot or shot group level. However, the shot level structure couldn't provide semantics within a video. So, researches on high level structuring are going on for getting over the drawbacks of shot level structure, recently. To overcome the drawbacks of shot level structure, we propose video scene segmentation technique based on color and motion features. For considering various color distribution, each shot is divided into sub-shots based on color feature. A key frame is extracted from each sub-shot. The motion feature in a shot is extracted from MPEG-1 video's motion vector. Moreover adaptive weights based on motion's property in search range are applied to color and motion features. The experiment results of proposed technique show the excellence in view of the over-segmentation and the reflection of semantics, comparing with those of previous techniques. The proposed technique decomposes video into meaningful hierarchical structure and provides video browsing or retrieval based on scene.
A Method for Reconstructing Original Images for Captions Areas in Videos Using Block Matching Algorithm
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 113~122
It is sometimes necessary to remove the captions and recover original images from video images already broadcast, When the number of images requiring such recovery is small, manual processing is possible, but as the number grows it would be very difficult to do it manually. Therefore, a method for recovering original image for the caption areas in needed. Traditional research on image restoration has focused on restoring blurred images to sharp images using frequency filtering or video coding for transferring video images. This paper proposes a method for automatically recovering original image using BMA(Block Matching Algorithm). We extract information on caption regions and scene change that is used as a prior-knowledge for recovering original image. From the result of caption information detection, we know the start and end frames of captions in video and the character areas in the caption regions. The direction for the recovery is decided using information on the scene change and caption region(the start and end frame for captions). According to the direction, we recover the original image by performing block matching for character components in extracted caption region. Experimental results show that the case of stationary images with little camera or object motion is well recovered. We see that the case of images with motion in complex background is also recovered.
Double Talk Detection using the Fuzzy Inference
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 123~129
This paper addresses a new double detection algorithm which is based on the fuzzy control in the adaptive echo canceller of communication system. In this method, the two input of the fuzzy inference for detecting double talk condition are used. The one is the cross-correlation coefficient between the error signal and the primary signal which is the summed signal of the real echo signal and the near-end signal. The other is the cross-correlation coefficient between the estimation error signal and the primary signal. The fuzzy controller made a fuzzification for two inputs by the membership functions of trapezoid and them became the composition using inference rules. The composed result is defuzzificated by the center gravity method. The output is compared with two threshold values to detect double talk and echo path variation effectively. It is confirmed by computer simulation that this fuzzy double talk detector is able to track echo path variation accurately.
Synchronization of Common Channel in Distributed Push Servers
Journal of Broadcast Engineering, volume 5, issue 1, 2000, Pages 130~138
The paper describes a push system, a broadcasting system in the internet, which is developed for internet and intranet use. In this paper, we carried out research on the method to support the large number of users in the intranet environment. Particularly the paper analyzes the effects on the network traffic according to the number of the user connected to the push system and the frequency of the connections when push servers are distributed over the intranet. Push system described here uses two different kinds of channels, common channel and local channel. Common channel is the channel to be replicated among the push servers in the intranet. This paper shows that the method using the common channel synchronization is efficient in supporting the large number of intranet users. We introduce an algorithm to make the interconnections between channels efficiently amongpush servers distributed over the intranet.