Video browsing system based on compressed domain feature extraction

Divakaran, Ajay; Vetro, Anthony; Asai, Kohtaro; Nishikawa, Hirofumi

doi:10.1109/30.883424

Cited by 19 publications

(7 citation statements)

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“…3) The global motions, which relate each frame to the segment's panorama (or Mosaic, largely studied in the literature [24], [25] and recently standardized by MPEG-4 4 [22] using the terminology "Sprite"), are captured by the Warping Parameters. These parameters are the coefficients of the parametric motion model used to define the panorama-to-frame relation (translational, pan-and-zoom, affine, perspective, or parabolic) [2].…”

Section: Overview Of Motion Descriptorsmentioning

confidence: 99%

MPEG-7 visual motion descriptors

Jeannin

Divakaran

2001

IEEE Trans. Circuits Syst. Video Technol.

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148

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This paper describes tools and techniques for representing motion information in the context of MPEG-7 standardization for multimedia description interfaces. It first gives an overview of the current organization of the set of MPEG-7 motion descriptions, then illustrates this by presenting two of them, motion activity and motion trajectory, in more detail. It explains how to extract them from the content, how to express them in a compact way, and illustrates their use in concrete applications scenarios.

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Section: Overview Of Motion Descriptorsmentioning

confidence: 99%

MPEG-7 visual motion descriptors

Jeannin

Divakaran

2001

IEEE Trans. Circuits Syst. Video Technol.

Self Cite

148

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“…Features extractable in the compressed domain are easier to extract than other features. In our previous work [3], we show that the combination of color and the motion activity in the compressed domain enables quick and effective browsing. Our examples of applications show that choice of features is crucial to the success of the browsing system.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, motion descriptors can provide quick access to the sports segments in a news program for example. We can similarly locate the newsanchor using the motion activity descriptor and the color descriptor (See [3]), and thus skim the news video sequence.…”

Section: Examples Of Applicationsmentioning

confidence: 99%

<title>MPEG-4/7-based Internet video and still-image browsing system</title>

Bober¹,

Asai

Divakaran

2001

SPIE Proceedings

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The ongoing MPEG-7 standard intends to provide a "Multimedia Content Description Interface." In other words, it will provide a rich set of tools to describe content with a view to facilitating applications such as content based querying, browsing and searching of multimedia content. The MPEG-4 standard provides tools for compressing multimedia content at bitrates that are feasible with typical internet connections. Such bitrates fall significantly short of those supported by prior standards such as MPEG-i and MPEG-2. Thus, in this paper, we present a remote video and still image browsing system that uses MPEG-7 for the querying/browsing/searching and MPEG-4 for compressing any transmitted content. We use descriptors of features such as color, shape and motion to annotate the stored content with MPEG-7 like metadata. The aforementioned descriptors stem from our previous work and are currently in the working draft of the MPEG-7 standard. In our previous work, we have shown the efficacy of each of the descriptors individually. In this paper, we show how we combine some of the features to effectively browse remote video and still image content. Our emphasis is on accurate and quick browsing of the remote content. Our system consists of a video web server with stored MPEG-4 video/still content that is able to support remote requests through a simple browser interface. We have used a combination of cgi script and servletapplet based configurations. We will present a demonstration of our system at the conference. We have already successfully demonstrated it to the Japanese press.

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“…Some other techniques employ low-level visual content features, such as the frame-type of the video stream [23]. The frame-type is extracted from the syntax of the video stream and shows only low correlation with actual visual content descriptors (expressed by MPEG-7 descriptors [24][25][26][27]), which we consider in our study. The study [17] presents and evaluates adaptive streaming mechanisms, which are based on the visual content features, for non-scalable (single-layer) encoded video, whereby the adaptation is achieved by selectively dropping B-frames.…”

Section: Related Workmentioning

confidence: 99%