The ability to manipulate the temporal dependencies in coded video data is important for a number of compressed-domain video processing tasks. This paper formulates the general problem and examines it in the context of MPEG. This is used to develop a method for performing frame conversions in MPEG coded video data. These frame conversions are used to develop compressed-domain video processing a...

The ability to manipulate the temporal dependencies in coded video data is important for a number of compressed-domain video processing tasks. This paper formulates the general problem and examines it in the context of MPEG. This is used to develop a method for performing frame conversions in MPEG coded video data. These frame conversions are used to develop compressed-domain video processing a...

Fast and eecient storage, indexing, browsing, and retrieval of video is a necessity for the development of various multimedia database applications. This can be achieved by analyzing the video directly in the compressed domain, thereby avoiding the overhead of decompressing video into individual frames in the pixel domain. Our compressed domain parsing of video performs shot change detection an...

Fast and eecient storage, indexing, browsing, and retrieval of video is a necessity for the development of various multimedia database applications. This can be achieved by analyzing the video directly in the compressed domain, thereby avoiding the overhead of decompressing video into individual frames in the pixel domain. Our compressed domain parsing of video performs shot change detection an...

Segmentation of video into shots and scenes in the compressed domain allows rapid, real-time analysis of video content using standard hardware. This paper presents robust techniques for parsing MPEG-compressed video sequences into shots based on their physical structure and further into scenes based on their semantic structure by identifying changes in content and camera motion. The analysis is...

There are a number of useful methods for creating high-quality video or still images from a lower quality video source. The best of these involve motion compensating a number of video frames to produce the desired video or still. These methods are formulated in the space domain and they require that the input be expressed in that format. More and more frequently, however, video sources are pres...

Recently, the notions of Compressed Sensing and Compressive Sampling have attracted attention as an innovative concept in signal processing. Compressed sensing proposes that, when dealing with signals which are highly compressible in a known basis, for example in a wavelet basis, one can dispense with traditional sampling and instead take a small number of samples which are functionals of the w...

Training robust deep video representations has proven to be much more challenging than learning deep image representations and consequently hampered tasks like video action recognition. This is in part due to the enormous size of raw video streams, the associated amount of computation required, and the high temporal redundancy. The ‘true’ and interesting signal is often drowned in too much irre...

Development of various multimedia applications is dependent on the availability of fast and eecient storage, browsing, indexing, and retrieval techniques. Given that video is stored eeciently in a compressed format, the costly overhead of decompression can be avoided by analyzing the compressed representation directly. In this paper, we describe techniques that can be used to extract viable fea...

With the increase of digital technology in video production, several types of complex video special efsects editing have begun to appear in video clips. In this paper, a novel algorithm is proposed for fade-in, fade-out, dissolve and wipe video editing operations in MPEG-2 [ I ] compressed domain without fu l l frame decompression and motion reestimation. Results show that both objective and su...