Video segmentation using partially decoded MPEG bitstream

Download

index.pdf

Date

2003

Author

Kayaalp, Işıl Burcun

Metadata

Show full item record

Item Usage Stats

196
views

0
downloads

In this thesis, a mixed type video segmentation algorithm is implemented to find the scene cuts in MPEG compressed video data. The main aim is to have a computationally efficient algorithm for real time applications. Due to this reason partial decoding of the bitstream is used in segmentation. As a result of partial decoding, features such as bitrate, motion vector type, and DC images are implemented to find both continuous and discontinuous scene cuts on a MPEG-2 coded general TV broadcast data. The results are also compared with techniques found in literature.

Subject Keywords

MPEG (Video coding standard), Video compression, Television broadcasting, Broadcasting

URI

http://etd.lib.metu.edu.tr/upload/1092758/index.pdf
https://hdl.handle.net/11511/13782

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Streaming Multiscale Deep Equilibrium Models Ertenli, Can Ufuk; Akbaş, Emre; Cinbiş, Ramazan Gökberk (2022-1-01) We present StreamDEQ, a method that infers frame-wise representations on videos with minimal per-frame computation. In contrast to conventional methods where compute time grows at least linearly with the network depth, we aim to update the representations in a continuous manner. For this purpose, we leverage the recently emerging implicit layer models, which infer the representation of an image by solving a fixed-point problem. Our main insight is to leverage the slowly changing nature of videos and use the...
Summarizing video: Content, features, and HMM topologies Yasaroglu, Y; Alatan, Abdullah Aydın (2003-01-01) An algorithm is proposed for automatic summarization of multimedia content by segmenting digital video into semantic scenes using HMMs. Various multi-modal low-level features are extracted to determine state transitions in HMMs for summarization. Advantage of using different model topologies and observation sets in order to segment different content types is emphasized and verified by simulations. Performance of the proposed algorithm is also compared with a deterministic scene segmentation method. A better...
Compressed domain MPEG-2 video editing with VBV requirement Egawa, R; Alatan, Abdullah Aydın; Akansu, AN (2000-01-01) A novel method is proposed to achieve efficient MPEG-2 video editing in compressed domain while preserving Video Buffer Verifier (VBV) requirements. Different cases are determined, according to the VBV modes of the bitstreams to be concatenated. For each case, the minimum number of zero-stuffing bits or shortest waiting time between two streams is determined analytically, so that the resulting bit-stream is still VBV-compliant. The simulation:results show that the proposed method is applicable to any MPEG-2...
Recursive Prediction for Joint Spatial and Temporal Prediction in Video Coding Kamışlı, Fatih (2014-06-01) Video compression systems use prediction to reduce redundancies present in video sequences along the temporal and spatial dimensions. Standard video coding systems use either temporal or spatial prediction on a per block basis. If temporal prediction is used, spatial information is ignored. If spatial prediction is used, temporal information is ignored. This may be a computationally efficient approach, but it does not effectively combine temporal and spatial information. In this letter, we provide a framewo...
Depth assisted object segmentation in multi-view video Cigla, Cevahir; Alatan, Abdullah Aydın (2008-01-01) In this work, a novel and unified approach for multi-view video (MVV) object segmentation is presented. In the first stage, a region-based graph-theoretic color segmentation algorithm is proposed, in which the popular Normalized Cuts segmentation method is improved with some modifications on its graph structure. Segmentation is obtained by recursive bi-partitioning of a weighted graph of an initial over-segmentation mask. The available segmentation mask is also utilized during dense depth map estimation ste...

Citation Formats

I. B. Kayaalp, “Video segmentation using partially decoded MPEG bitstream,” M.S. - Master of Science, Middle East Technical University, 2003.