By Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Yong Rui, Thomas S. Huang

ISBN-10: 012369387X

ISBN-13: 9780123693877

Huge volumes of video content material can merely be simply accessed via quick looking and retrieval strategies. developing a video desk of contents (ToC) and video highlights to permit finish clients to sift via all this information and locate what they need, after they wish are crucial. This reference places forth a unified framework to combine those features aiding effective shopping and retrieval of video content material. The authors have built a cohesive approach to create a video desk of contents, video highlights, and video indices that serve to streamline using functions in shopper and surveillance video purposes.

The authors speak about the iteration of desk of contents, extraction of highlights, diversified thoughts for audio and video marker attractiveness, and indexing with low-level gains corresponding to colour, texture, and form. present functions together with this summarization and skimming know-how also are reviewed. functions similar to occasion detection in elevator surveillance, spotlight extraction from activities video, and photo and video database administration are thought of in the proposed framework. This ebook offers the newest in examine and readers will locate their look for wisdom glad by means of the breadth of the data lined during this quantity.

* bargains the newest in leading edge examine and purposes in surveillance and buyer video

* Presentation of a singular unified framework aimed toward effectively sifting during the abundance of pictures collected day-by-day at purchasing shops, airports, and different advertisement facilities

* Concisely written via prime participants within the sign processing with step by step guide in development video ToC and indices

Show description

Read Online or Download A Unified Framework for Video Summarization, Browsing and Retrieval. With Applications to Consumer and Surveillance Video PDF

Best storage & retrieval books

Download e-book for iPad: Semantic Web and Peer-to-Peer: Decentralized Management and by Steffen Staab, Heiner Stuckenschmidt

Like the business society of the final century relied on average assets, trendy society will depend on details and its alternate. Semantic net applied sciences tackle the matter of knowledge complexity via supplying complex help for representing and processing allotted info, whereas peer-to-peer applied sciences handle problems with procedure complexity via permitting versatile and decentralized info garage and processing.

Interactive Distributed Multimedia Systems and - download pdf or read online

The 1st overseas Workshop on Interactive disbursed Multimedia structures and Telecommunication prone (IDMS) was once prepared by means of Prof. ok. Rothermel and Prof. W. Effelsberg, and came about in Stuttgart in 1992. It had the shape of a countrywide discussion board for dialogue on multimedia concerns with regards to communications.

Menggang Li (auth.)'s Research on Industrial Security Theory PDF

This e-book bargains a scientific dialogue and clarification on what business safeguard is, what the influencing elements of business safety are, how commercial protection might be evaluated and the way early warnings may still paintings from the perspective of constructing nations. learning theories of commercial safeguard is critical for the advance of commercial economics thought, strategies in commercial financial system experiences, and an enormous complement to and development at the theories of business economics.

Download e-book for iPad: The Semantic Web: Trends and Challenges: 11th International by Valentina Presutti, Claudia d'Amato, Fabien Gandon, Mathieu

This publication constitutes the refereed court cases of the eleventh prolonged Semantic internet convention, ESWC 2014, held in Anissaras, Crete, Greece France, in may well 2014. The 50 revised complete papers awarded including 3 invited talks have been rigorously reviewed and chosen from 204 submissions. they're equipped in topical sections on cellular, sensor and semantic streams; providers, techniques and cloud computing; social internet and internet technology; information administration; average language processing; reasoning; computing device studying, associated open facts; cognition and semantic internet; vocabularies, schemas, ontologies.

Extra info for A Unified Framework for Video Summarization, Browsing and Retrieval. With Applications to Consumer and Surveillance Video

Sample text

Video is a sequential medium. Therefore, even though two or more processes are developing simultaneously in a video, they have to be displayed sequentially, one after another. This is conunon in a movie. For example, when two people are talking to each other, even though both people contribute to the conversation, the movie switches back and forth between these two people. In this example, clearly two groups exist, one corresponding to person A and the other corresponding to person B. Even though these two groups are nonsimilar, they are semantically related and constitute a single scene.

For any algorithm to be of practical use, all the parameters should be determined either automatically by the algorithm itself or easily by the user. In our proposed algorithm, Gaussian normalization is used in determining the four parameters. Specifically, Wc, and WA are determined automatically by the algorithm, and groupThreshold and sceneThreshold are determined by user's interaction. 19), we combine color histogram similarity and activity similarity to form the overall shot similarity. Since the color histogram feature and activity feature are from two totally different physical domains, it would be meaningless to combine them without normalizing them first.

38], a search window that is eight shots long is used when calculating the shot similarities. While this "window" approach is a big advance from the plain unsupervised clustering in video analysis, it has the problem of discontinuity ("window effects"). For example, if the frame difference between two shots is T — 1, then the similarity between these two shots is kept unchanged. But if these two shots are a bit farther apart from each other, making the frame difference to be T + 1, the similarity between these shots is suddenly cleared to 0.

Download PDF sample

A Unified Framework for Video Summarization, Browsing and Retrieval. With Applications to Consumer and Surveillance Video by Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Yong Rui, Thomas S. Huang


by Michael
4.2

Rated 4.00 of 5 – based on 35 votes