On the extraction of DC sequence from MPEG compressed video

Yeo, Boon-Lock; Liu, B.

doi:10.1109/icip.1995.537464

Cited by 80 publications

(58 citation statements)

References 5 publications

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“…However, the challenge exists in extracting DC images from P or B frames, which use motion compensation to exploit the temporal redundancy. A general case for a P frame has been proposed by Yeo and Liu [11] and is shown in Fig. 6.…”

Section: A Extraction Of DC Sequencementioning

confidence: 99%

Limited color display for compressed image and video

Pei

Cheng

2000

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-Many display devices nowadays still allow a limited number of colors, called color palette, to be displayed simultaneously. Besides, images and videos in most World Wide Web databases are in compressed formats. Therefore, it becomes an important issue to retrieve a suitable color palette from compressed domain in order to have fast and faithful color reproduction for these devices. In this paper, the color-palette design methods for compressed images and videos are presented. The proposed approaches use the reduced, rather than the whole, image for the color palette design to avoid the heavy computation in image or video decompression. Also, for compressed videos, a shifting-window scheme is proposed to smooth out color variations in the change of color palette. In these methods, we extend the dependent scalar quantization algorithm of a single image to accomplish the color palette design. Experimental results show that output image quality of proposed methods is acceptable to human eyes. In addition, empirical results show that the proposed shifting-window scheme can reduce the main problem of displaying quantized image sequences, screen flicker.Index Terms-Color display, color palette, color quantization, compressed image, compressed video.

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Section: A Extraction Of DC Sequencementioning

confidence: 99%

Limited color display for compressed image and video

Pei

Cheng

2000

IEEE Trans. Circuits Syst. Video Technol.

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“…The DC coefficients are readily available in I-pictures, which are intracoded. A widely-used method for estimating the DC coefficients in P-pictures is presented in [21]. Thus, a matrix of DC coefficients-the DC image-is obtained for each picture.…”

Section: Dimensionality Reduction and Feature Vector Representationmentioning

confidence: 99%

Statistical sequential analysis for real-time video scene change detection on compressed multimedia bitstream

Lelescu¹,

Schonfeld

2003

IEEE Trans. Multimedia

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Abstract-The increased availability and usage of multimedia information have created a critical need for efficient multimedia processing algorithms. These algorithms must offer capabilities related to browsing, indexing, and retrieval of relevant data. A crucial step in multimedia processing is that of reliable video segmentation into visually coherent video shots through scene change detection. Video segmentation enables subsequent processing operations on video shots, such as video indexing, semantic representation, or tracking of selected video information. Since video sequences generally contain both abrupt and gradual scene changes, video segmentation algorithms must be able to detect a large variety of changes. While existing algorithms perform relatively well for detecting abrupt transitions (video cuts), reliable detection of gradual changes is much more difficult. In this paper, a novel one-pass, real-time approach to video scene change detection based on statistical sequential analysis and operating on compressed multimedia bitstream is proposed. Our approach models video sequences as stochastic processes, with scene changes being reflected by changes in the characteristics (parameters) of the process. Statistical sequential analysis is used to provide an unified framework for the detection of both abrupt and gradual scene changes.

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“…DC coefficients, macro block types) which are quite useful in revising traditional techniques such as F-2-F. Specifically, the DC-image of an I-frame, which defined as; the collection of all DC coefficients results from applying DCT transform on Iframe for MPEG compression purpose [23]. This tiny image ∼ (40 × 30) pixels is an important compressed domain feature of size 1/64 of its respective full I-frame, which could significantly reduce the algorithms computational time.…”

Section: Introductionmentioning

confidence: 99%

Compressed video matching: Frame-to-frame revisited

Bekhet

Ahmed

Altadmri

et al. 2015

Multimed Tools Appl

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This paper presents an improved frame-to-frame (F-2-F) compressed video matching technique based on local features extracted from reduced size images, in contrast with previous F-2-F techniques that utilized global features extracted from full size frames. The revised technique addresses both accuracy and computational cost issues of the traditional F-2-F approach. Accuracy is improved through using local features, while computational cost issue is addressed through extracting those local features from reduced size images. For compressed videos, the DC-image sequence, without full decompression, is used. Utilizing such small size images (DC-images) as a base for the proposed work is important, as it pushes the traditional F-2-F from off-line to real-time operational mode. The proposed technique involves addressing an important problem: namely the extraction of enough local features from such a small size images to achieve robust matching. The relevant arguments and supporting evidences for the proposed technique are presented. Experimental results and evaluation, on multiple challenging datasets, show considerable computational time improvements for the proposed technique accompanied by a comparable or higher accuracy than state-of-the-art related techniques.

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On the extraction of DC sequence from MPEG compressed video

Cited by 80 publications

References 5 publications

Limited color display for compressed image and video

Limited color display for compressed image and video

Statistical sequential analysis for real-time video scene change detection on compressed multimedia bitstream

Compressed video matching: Frame-to-frame revisited

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