Visualizing Multimedia Content on Paper Documents: Components of Key Frame Selection for Video Paper

نویسندگان

  • Jonathan J. Hull
  • Berna Erol
  • Jamey Graham
  • Dar-Shyang Lee
چکیده

The components of a key frame selection algorithm for a paper-based multimedia browsing interface called Video Paper are described. Analysis of video image frames is combined with the results of processing the closed caption to select key frames that are printed on a paper document together with the closed caption. Bar codes positioned near the key frames allow a user to play the video from the corresponding times. This paper describes several component techniques that are being investigated for key frame selection in the Video Paper system, including face detection and text recognition. The Video Paper system implementation is also discussed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Content-based Video Retrieval and Summarization using MPEG-7

Retrieval in current multimedia databases is usually limited to browsing and searching based on low-level visual features and explicit textual descriptors. Semantic aspects of visual information are mainly described in full text attributes or mapped onto specialized, application specific description schemes. Result lists of queries are commonly represented by textual descriptions and single key...

متن کامل

A Spatiotemporal Decomposition Strategy for Personal Home Video Management

With the advent and proliferation of low cost and high performance digital video recorder devices, an increasing number of personal home video clips are recorded and stored by the consumers. Compared to image data, video data is lager in size and richer in multimedia content. Efficient access to video content is expected to be more challenging than image mining. Previously, we have developed a ...

متن کامل

A Novel Compression for Enormous Motion Data in Video Using Repeated Object Clips [ROC]

Entertainment industry is roofed with audio, video, graphics and multimedia. It deals with large variety of data. As the data increases, it becomes a troublesome problem especially in large database or realtime and telepresence applications, where the memory, bandwidth and storages are limited. So, in this study we propose, a novel compression method, which is achieved by video content analysis...

متن کامل

Automatic Key Video Object Plane Selection Using the Shape Information in the MPEG-4 Compressed Domain

Object-based video representation, such as the one suggested by the MPEG-4 standard, offers a framework that is better suited for object-based video indexing and retrieval. In such a framework, the concept of a “key frame” is replaced by that of a “key video object plane.” In this paper, we propose a method for key video object plane selection using the shape information in the MPEG-4 compresse...

متن کامل

Feature Extraction from Video Data for Indexing and Retrieval

----------------------------------------------------------------------------***--------------------------------------------------------------------------AbstractIn recent years, the multimedia storage grows and the cost for storing multimedia data is cheaper. So there is huge number of videos available in the video repositories. With the development of multimedia data types and available bandwi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003