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Eminent scene change detection algorithm and new indexing method for video retrieval on MPEG sequences

OPTICAL ENGINEERING 2002年第1期41卷 255-263页

作者： Kang, EK Kim, SJ Jahng, SG Choi, JS Jeonju Univ Coll Informat Technol & Comp Engn Jeonju 560759 South Korea Chung Ang Univ Grad Sch Adv Imaging Sci Multimedia & Film Dept Image Engn Dongjak Ku Seoul 156756 South Korea

We propose an eminent scene change detection (SCD) algorithm, and also present a new video-indexing method for fast content-based browsing and retrieval in video databases. The first step in our approach is to extract representative frames by using the proposed SCD algorithm from the Motion Picture Experts Group (MPEG) video sequence. Thereafter, we perform the video indexing by applying the rosette pattern (RP) to the extracted representative frames, and retrieve them. A principal cause of these processing procedures is that the performance of video indexing and retrieval system depends on the SCD. And how accurately SCD performs as well as a preprocessing are some of the considerations that we must take into account. Therefore, we classify every possible scene change that may happen within the video into three types: abrupt, gradual, and flashlight. And we detect every kind of scene change. Our SCD algorithm is better than the conventional ones in terms of SCD performance and we demonstrate its superiority by experiments. We also extract representative frames that represent series of detected scenes by the proposed accumulative histogram intersection measure (AHIM). Finally, we apply the RP to extracted representative frames for indexing, we can remarkably reduce the number of pixels (NOP) required to index and excellently retrieve the video scene. (C) 2002 Society of Photo-Optical Instrumentation Engineers.

关键词： video detection data storage

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video searching and retrieval using scene classification in multimedia databases 2

Video searching and retrieval using scene classification in ...

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2nd International Conference for Emerging Technology, INCET 2021

作者： Haloi, Pranabjyoti Bhuyan, M.K. Indian Institute of Technology Guwahati Department of Electronics and Electrical Engineering Guwahati India

ISBN: (纸本)9781728170299

image and video indexing techniques play a key role in content-based searching in multimedia databases. A novel efficient video similarity search approach for content-based video retrieval in a large storage device is proposed. A compressed domain feature is used to classify the scenes of a video sequence. The performance of the said feature in classifying the scenes is evaluated by considering different feature lengths. Subsequently, a novel searching algorithm is proposed based on entropy of the image. This method incorporates temporal information of the video during video retrieval. Additionally, the proposed system has the facility to query both by video and by image. The 92.3% accuracy of the proposed method exceeded that of the VA-file 81.0% and OVA-file 76.4% methods and the computational complexity was lower than the VA-file method. This demonstrates the efficiency and effectiveness of the proposed method. © 2021 IEEE.

关键词： Classification (of information)

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Comparison and improvement of color-based image retrieval techniques

Comparison and improvement of color-based image retrieval te...

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storage and retrieval for image and video databases VI Conference

作者： Zhang, YJ Liu, ZW He, Y Tsing Hua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)0819427527

With the increasing popularity of image manipulation with contents, many color-based image retrieval techniques have been proposed in the literature. A systematic and comparative study of 8 representative techniques is first presented in this paper, which uses a database of 200 images of nags and trademarks. These techniques are determined to cover the variations of the color models used, of the characteristic color features employed and of the distance measures calculated for judging the similarity of color images. The results of this comparative study are presented both by the lists of retrieved images for subjective visual inspection and by the retrieving ratios computed for objective judgment. All of them show that the cumulative histogram based techniques using Euclidean distance measures in two perception related color spaces give best results among the 8 techniques under consideration. Started from the best performed techniques, works toward further improving their retrieving capability are then carried on and this has resulted 2 new techniques which use local cumulative histograms. The new techniques have been tested by using a database of 400 images of real flowers which are quite complicated in color contents. Some satisfactory results, compared to that obtained by using existing cumulative histogram based techniques are obtained and presented.

关键词： content-based technique image querying image retrieval image database color model color transform histogram moment matching distance measure

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Guest editors' introduction: Special section on peer-to-peer-based data management

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IEEE Transactions on Knowledge and Data Engineering 2004年第7期16卷 785-786页

作者： Ooi, Beng Chin Tan, Kian-Lee Department of Computer Science National University of Singapore 3 Science Drive 2 Singapore 117543 Singapore

No abstract available

关键词： Peer to peer computing Distributed databases image storage Computer Society Computer industry video sharing Data security Information security Computer networks Content based retrieval

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Content-based live video retrieval by telop character recognition: TV-on-demand

Content-based live video retrieval by telop character recogn...

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7th storage and retrieval for image and video databases Conference

作者： Takahata, M Kuwano, H Kurakake, S Matsuda, C Nishimura, K Nippon Telegraph & Tel Corp Human Interface Labs Musashino Tokyo 1808585 Japan

ISBN: (纸本)0819431273

We have developed a TV-on-demand system that provides playback of a television program after a period ranging from a few seconds to one week after broadcast, and have conducted usage trials in cooperation with a television station in Nagano Prefecture of Japan. This system has been achieved through the development of various technologies such as automatic updating of stored television programs and contents retrieval by telop characters, Users in the trials can begin playback of a television program immediately after its broadcast has begun. The purpose of the trials was to evaluate the system's usability in applications such as contents retrieval, selective viewing of commercials, and customer service at the television station. This paper presents applied technologies and some experimental results and also addresses a new direction of information retrieval system based on the evaluation of the usage trials.

关键词： video-on-demand content-based retrieval telop character recognition automatic video indexing

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Adaptive filtering and indexing for image databases

Adaptive filtering and indexing for image databases

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storage and retrieval for image and video databases III

作者： Alexandrov, A. Ma, W.Y. El Abbadi, Amr Manjunath, B.S. Univ. of California/Santa Barbara Santa Barbara CA USA United States

ISBN: (纸本)081941767X

In this paper we combine image feature extraction with indexing techniques for efficient retrieval in large texture images databases. A 2D image signal is processed using a set of Gabor filters to derive a 120 component feature vector representing the image. The feature components are ordered based on the relative importance in characterizing a given texture pattern, and this facilitates the development of efficient indexing mechanisms. We propose three different sets of indexing features based on the best feature, the average feature and a combination of both. We investigate the tradeoff between accuracy and discriminating power using these different indexing approaches, and conclude that the combination of best feature and the average feature gives the best results.

关键词： Database systems

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storage and retrieval for media databases 2001

Storage and retrieval for media databases 2001

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storage and retrieval for Media databases 2001

This Volume 4315 of the conference proceedings contains 620 papers. Topics discussed include search and retrieval of image database, indexing, querying and learning, media information systems, multimodel retrieval, fe... 详细信息

关键词： Information retrieval systems

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Location hashing: An efficient indexing method for locating object queries in image databases

Location hashing: An efficient indexing method for locating ...

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7th storage and retrieval for image and video databases Conference

作者： Syeda-Mahmood, T IBM Corp Almaden Res Ctr San Jose CA 95120 USA

ISBN: (纸本)0819431273

Queries referring to content embedded within images are an essential component of content-based search, browse, or summarize operations in image databases. Localization of such queries under changes in appearance, occlusions and background clutter, is a difficult problem, for which current spatial access structures in databases are not suitable. In this paper we present a new method of indexing image databases called location hashing that uses a special data structure called the location hash tree (LHT) for organizing feature information from images of a database. Location hashing is based on the principle of geometric hashing and determines simultaneously, the relevant images in the database and the regions within them that are most likely to contain a 2d pattern query without incurring detailed search of either. The location hash tree being a red-black tree, allows for efficient search for candidate locations using pose-invariant feature information derived from the query.

关键词： databases Low-intensity laser therapy image segmentation Nanoimprint lithography Data modeling Quantization Affine motion model Feature extraction image retrieval Surgery

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Processing of partial video data for detection of wipes

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 280-289页

作者： Kim, Hyeokman Park, Sung-Jun Lee, Jinho Kim, Woonkyung M. Song, S.Moon-Ho Korea Telecom Seoul Korea Republic of

With the currently existing shot change detection algorithms, abrupt changes are detected fairly well. It is thus more challenging to detect gradual changes including fades, dissolves, and wipes as these are often missed or falsely detected. In this paper, we focus on the detection of wipes. The proposed algorithm begins by processing the visual rhythm, a portion of the DC image sequence. It is a single image, a sub-sampled version of a full video in which the sampling is performed in a pre-determined and in a systematic fashion. The visual rhythm contains distinctive patterns or visual features for many different types of video effects. The different video effects manifest themselves differently on the visual rhythm. In particular, wipes appear as curves that run from the top to the bottom of the visual rhythm. Thus, using the visual rhythm, it becomes possible to automatically detect wipes simply by determining various lines and curves on the visual rhythm.

关键词： video signal processing

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The SS+-tree: An improved index structure for similarity searches in a high-dimensional feature space 5

The SS+-tree: An improved index structure for similarity sea...

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Conference on storage and retrieval for image and video databases V

作者： Kurniamati, R Jin, JS Shepherd, JA School of Computer Science and Engineering University of New South Wales Sydney 2052 Australia

ISBN: (纸本)0819424331

In this paper, we describe the SS+-tree, a tree structure for supporting similarity searches in a high-dimensional Euclidean space. Compared to the SS-tree, the tree uses a tighter bounding sphere for each node which is an approximation to the smallest enclosing sphere and it also makes a better use of the clustering property of the available data by using a variant of the k-means clustering algorithm as the split heuristic for its nodes. A local reorganization rule is also introduced during the tree building to reduce the overlapping between the nodes' bounding spheres.

关键词： high-dimensional indexing and retrieval similarity search multimedia databases enclosing spheres enclosing boxes (MBR)

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