B. Smith. Fast software processing of motion JPEG video. In ACM Multimedia, Oct. 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... [Ning93] multidimensional trees [Wilhelms94] differences of Gaussians wavelets [Muraki94] and Haar and Daubechies wavelets [Westermann94] Also related are algorithms for applying texture manipulation operators (such as magnifying or minifying) directly to JPEG representations of textures [Smith94] 6. Conclusions We have described a method for using a high performance graphics workstation as a rendering server for a low performance workstation, and we have explored several strategies for partitioning the rendering task between client and server. Our method improves image quality over ....

Smith, B.C., "Fast Software Processing of Motion JPEG Video," Proc. Multimedia '94 (San Francisco, October 15-20, 1994), ACM, pp. 77-88.

....begun to use the computer for content recognition of digital video. Pioneer work describes cut detection algorithms that identify scene cuts in compressed streams [1] Other groups are working on the computation of linear transformations, such as zooms and pans, in compressed or uncompressed video [15]. Unlike that for digital videos, pattern recognition for still images has a long history and has reached a mature level [13] In our context, object recognition is of particular interest, and recent work shows that it is now feasible to use images to query stillimage databases [20] 16] Our CoP ....

Brian C. Smith. Fast Software Processing of Motion JPEG Video. Proc. ACM Multimedia 94, pp. 77-88, San Francisco, CA, USA, October 15-20, 1994

....stages of compression. This results in significant performance improvements as compared to performing the same operations on uncompressed data [12] For example, the shrink by 2 operation can be performed roughly 5 times faster on run length encoded images than on images that are not compressed [11]. This performance gain far outweighs any overhead due to dynamic module binding, which previous experiments indicate is relatively small [6] Given that presentation processing is the current bottleneck in communications performance, the runtime performance advantages of this approach make it a ....

B. Smith. Fast Software Processing of Motion JPEG Video. In Proceedings of the ACM Multimedia'94, pages 77--88, 1994.

....generated from an appropriate MPEG like frame structure similar to the one suggested above. Provide support for scalable H.261 and motion JPEG using the MPEG scalable representations. A shrewd data structure and efficient algorithm implementation (e.g. possibly using frequency domain operations [Smith94]) should produce a more flexible system. 1.3.2 Perceptual Coding Much work remains to be done understanding the human visual system and developing models that can be used to implement better coders. Surprisingly, perceptual coding of audio is ahead of perceptual coding of video [Jayant93] ....

B.C. Smith, "Fast Software Processing of Motion JPEG Video," to appear ACM Multimedia 94, October 1994.

....additionally, possible that storage and processing of the data use the same (sparse) representation. This avoids computation of the transform which, ideally, need only be performed during display or acquisition (where it can be assigned to dedicated hardware) A first pass at this idea is given in [12, 11] based on a block Discrete Cosine Transform (DCT) allowing the use of standard (JPEG) compressed data. There are a number of problems with using the block DCT representation for image processing however. Of particular concern to us is the poor representation of scale information. Scale is a ....

....not fully address a number of image specific considerations. In this paper, we aim to present to the image processing community, a number of algorithms for the processing of data represented in a wavelet space. In section 2. 1, we briefly introduce the wavelet transform before extending the work of [12, 11] to the wavelet domain in section 2.2. The convolution operator is examined in more detail in section 3 and a new algorithm for its fast implementation is suggested. In section 4 orthogonal, biorthogonal and over complete wavelet transforms are discussed and compared for the purpose of ....

B. C. Smith. Fast software processing of motion JPEG video. ftp from Cornell University.

....these efforts have focussed mainly on either video manipulation and compositing tasks or on video segmentation task. Ranging from simple image addition to sophisticated geometric transformations, a number of innovative methods for direct manipulation of JPEG images have been proposed recently [3, 18, 23 27]. Methods to perform video segmentation for shot boundary detection in the context of video databases by examining the MPEG video stream have also been developed by many researchers [28 32] The tasks related to geometric feature extraction such as edge detection have received very little ....

B. C. Smith, "Fast Software Processing of Motion JPEG Video," Proc. of the Second ACM International Conference on Multimedia, pp. 77-88, San Francisco, Oct. 1994.

....data. However, these algorithms were limited to local manipulations and compositions operations such as contrast manipulation or image subtraction where a pixel value in the output image at position p depends solely on the pixel value at the same position p in the input image. Recently, Smith [5] has extended this work to global manipulations and visual compositions operations such as low pass and high pass filtering where the value of a pixel in the output image is a function of an arbitrary linear combination of pixels in the input image. Through this kind of processing, he has shown ....

B.C. Smith, "Fast Software Processing of Motion JPEG Video," Proc. ACM Multimedia 94, pp. 77-88, San Francisco, California, 1994.

....of the code from the reusable transformation implementations. This allows for significant code reuse when developing new components, and also makes it possible to incorporate reusable signal processing modules at intermediate stages of compression, where factors of ten speedup can be achieved [5]. Whereas such efficiencies are normally obtained by tight coupling of signal processing and compression operations, in the PPE framework these transformations are implemented as separate modules, and hence, can be reused to compose other software components. The PPE framework facilitates the ....

B. Smith. Fast Software Processing of Motion JPEG Video. In Proceedings of the ACM Multimedia'94, pages 77--88, October 1994.

....image(s) A more complicated type of processing uses global operations, where the value of a pixel in the output image is a function of many pixels in the source image. Linear global operations, where each output pixel is a linear combination of input pixels, can be implemented in the JPEG domain [14]. The basic idea of compressed domain global processing is to factor JPEG into steps that can be written mathemati gxy, af 2 xy, 1a ( f 1 xy, gxy, mxy, fxy, 1mxy, bxy, 4 cally as linear operators (scaling, DCT, zigzag scanning) and steps that can not ....

....condensation to approximate the compressed domain operator by a sparse operator. The image that results from using the sparse operator is nearly indistinguishable from the correct result, but its computation is much faster: about twice the time required for Huffman compression and decompression [14]. The second complication is that mapping global operations into the compressed domain is complicated because the spatial domain operators may cross block boundaries. For example, a common way to implement the operation of smoothing an image is to replace each pixel by an average of its immediate ....

Brian C. Smith, Fast Software Processing of Motion JPEG Video, Proc. of the Second ACM International Conference on Multimedia, San Francisco, CA, October 15-20, 1994.

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B. Smith. Fast software processing of motion JPEG video. In ACM Multimedia, Oct. 1994.

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B. Smith. Fast software processing of motion JPEG video. In ACM Multimedia, Oct. 1994.

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B. Smith. Fast Software Processing of Motion JPEG Video. In Proceedings of the ACM Multimedia'94, pages 77--88, October 1994.

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B. Smith, "Fast Software Processing of Motion JPEG Video". Proceedings of 2nd ACM Multimedia, San Francisco, October 1994.

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B. Smith. Fast Software Processing of Motion JPEG Video. In Proceedings of the ACM Multimedia'94, pages 77--88, 1994.

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