SMITH, B., AND ROWE, L. Compressed domain processing of JPEGencoded images. Real-Time Imaging 2, 2 (1996), 3--17.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....has several advantages. First, it promotes code reuse. For instance, the inverse DCT and color space conversion functions are shared by the JPEG and MPEG routines. Second, it allows optimizations that would be di#cult to exploit otherwise. For example, compressed domain processing techniques [4, 69, 59, 72] can be implemented on SCImages. Exposing Structure: Dali provides functions to parse compressed bit streams, such as MPEG, JPEG, and GIF. These bit streams consist of a sequence of structural elements. For example, an MPEG 1 video bit stream consists of a sequence header followed by one or ....

B. C. Smith and L. A. Rowe. Compressed domain processing of JPEG-encoded images. Real-Time Imaging, 2(1):3--17, February 1996.

....progressively [1] This has potential to improve the interactivity of image processing applications in the same way that progressive image transmission has improved the usability of images on the internet. Among the first to investigate techniques for compressed image processing were Smith Rowe [2, 3] and Dorrell Lowe [4, 1] who considered the block DCT (JPEG) and wavelet domains respectively. The methods used in these two works di#ers significantly however. Whereas the method of Smith and Rowe [3, specifically] is dependent on sparse matrix techniques for its e#ciency, the methods proposed ....

....and e#ciently exploit sparseness in both data and operator. In the next section we develop a computational framework for this purpose. 3 Exploiting sparseness In the past, sparse matrix methods have been used to reduce the number of operations required for compressed domain image processing [3]. These have the disadvantage of introducing new data structures into the overall system. In [1] a method for exploiting data sparseness was proposed which made use of the fact that some compressed streams are, themselves, a form of sparse (matrix) representation. The decoder has knowledge of this ....

B. C. Smith and L. A. Rowe, "Compressed domain processing of JPEG-encoded images," Rea l-Time Imaging, vol. 2, pp. 3--17, 1996.

....frequency coe cients of the image present in step 4 as middle format. As illustrated in Figure 2b, this allows the DCT domain recoder to bypass steps 3 1 to 3, saving a considerable amount of processing time, mainly by not performing the DCT. DCT domain processing has previously been discussed [13, 14], but this papers relates to its performance for wireless proxy applications. DCT domain processing essentially is a more computationally e cient recoding method, and does not produce di erent rate distortion performance compared to regular JPEG recoding. 3. Performance Results An e cient DCT ....

B. C. Smith and L. A. Rowe, Compressed domain processing of JPEG-encoded images, Real-Time Imaging, vol. 2, pp. 3 17, February 1996.

.... By performing pixel wise and scalar addition and multiplication on JPEG compressed images they are able to implement operations such as dissolving between two video sequences and video subtitling very efficiently (compared to uncompressing, processing, and compressing again) In a later paper [16] their methods are extended to the computation of arbitrary linear combinations of pixels in images of motion JPEG video sequences. However, they do not address 3D warping of images and video sequences. Their approach is tuned to the particularities of JPEG (block based DCT, quantization, zig zag ....

B. C. Smith and L. A. Rowe. Compressed domain processing of JPEG-encoded images. Real-Time Imaging, 2:3--17, 1996.

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B. Smith, L. Rowe, Compressed Domain Processing of JPEG-encoded Images, Real-Time Imaging, pp. 3-17,Vol. 1, Num. 2, July 1996.

....domain transcoders and offers an additional degree of freedom: higher transcoding speeds can be obtained at the price of lower picture quality. This speed quality trade off is useful in many real time applications such as off line editing and video gateways. 1. Introduction Motion JPEG (MJPEG) [6], H.261, and MPEG are common video compression schemes. None of these schemes achieve both simple access to individual video frames (i.e. random access) and good compression. Greater compression comes at the expense of complex random access, as shown in Table 1. Hence, a format well suited to one ....

....is crucial to save storage and bandwidth, hence MPEG is often chosen. Video processing Video is usually decompressed before it can be processed. However, compressed domain processing techniques can operate on video without fully decompressing it. Many of these techniques operate on MJPEG data [5,6,7,8,9]. Thus, no single video format is ideal for all purposes. However, during the course of its lifetime, a typical video segment undergoes editing, processing and storage, often multiple times. This makes the ability to convert between formats highly desirable, a process we call transcoding. ....

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Brian C. Smith, Lawrence A. Rowe, Compressed Domain Processing of JPEG-Encoded Images, Real-Time Imaging, volume 1, number 2, July, 1996, pp. 3-17

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SMITH, B., AND ROWE, L. Compressed domain processing of JPEGencoded images. Real-Time Imaging 2, 2 (1996), 3--17.

No context found.

SMITH, B., AND ROWE, L. Compressed domain processing of JPEGencoded images. Real-Time Imaging 2, 2 (1996), 3--17.

No context found.

B.C. Smith and L.A. Rowe, "Compressed Domain Processing of JPEG-Encoded Images," Real-Time Imaging, vol. 2, pp. 3-17, 1996.

No context found.

Brian C. Smith, Lowrence A. Rowe, "Compressed Domain Processing of JPEG-Encoded Images", Real-Time Imaging, volume 1, number 2, July, 1996, pp. 3-17.

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