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2016 IEEE International Conference on Image Processing (ICIP)

25-28 Sept. 2016

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Displaying Results 1 - 25 of 913
  • [Front cover]

    Publication Year: 2016, Page(s): c1
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  • [Title page]

    Publication Year: 2016, Page(s): 1
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  • [Copyright notice]

    Publication Year: 2016, Page(s): ii
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  • [Blank page]

    Publication Year: 2016, Page(s): iii
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  • Organizing Committee

    Publication Year: 2016, Page(s): iv
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  • Technical program committee

    Publication Year: 2016, Page(s):v - xvi
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  • General chair's welcome

    Publication Year: 2016, Page(s):xvii - xix
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  • Technical program chairs' overview

    Publication Year: 2016, Page(s):xx - xxii
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  • Table of contents

    Publication Year: 2016, Page(s):xxiii - xciv
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  • Semantic context and depth-aware object proposal generation

    Publication Year: 2016, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (783 KB) | HTML iconHTML

    This paper presents a context-aware object proposal generation method for stereo images. Unlike existing methods which mostly rely on image-based or depth features to generate object candidates, we propose to incorporate additional geometric and high-level semantic context information into the proposal generation. Our method starts from an initial object proposal set, and encode objectness for eac... View full abstract»

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  • Highlighting objects of interest in an image by integrating saliency and depth

    Publication Year: 2016, Page(s):6 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1210 KB) | HTML iconHTML

    Stereo images have been captured primarily for 3D reconstruction in the past. However, the depth information acquired from stereo can also be used along with saliency to highlight certain objects in a scene. This approach can be used to make still images more interesting to look at, and highlight objects of interest in the scene. We introduce this novel direction in this paper, and discuss the the... View full abstract»

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  • Moving object segmentation using depth and optical flow in car driving sequences

    Publication Year: 2016, Page(s):11 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (829 KB) | HTML iconHTML

    Segmentation of moving objects in a scene is difficult for non-stationary cameras, and especially challenging in the presence of fast and unstable egomotion, e.g., as encountered with car-mounted cameras or wearable devices. Based on an analysis of motion vanishing points of the scene and estimated depth, a geometric model that relates extracted 2D motion to a 3D motion field relative to the camer... View full abstract»

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  • Efficient action recognition from compressed depth maps

    Publication Year: 2016, Page(s):16 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (325 KB) | HTML iconHTML

    We propose an efficient action recognition scheme based solely on compressed depth maps. Each depth map is coded by a recently proposed scalable encoder that employs multi-scale breakpoints and an adaptive discrete wavelet transform (DWT). DWT coefficients describe smooth variations in depth while breakpoints communicate sharp boundaries. Both of these attributes are extracted from the bit-stream ... View full abstract»

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  • Depth of field guided reflection removal

    Publication Year: 2016, Page(s):21 - 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (333 KB) | HTML iconHTML

    Reflection removal aims at separating the mixture of the desired scene and the undesired reflections. Locating reflection and background edges is a key step for reflection removal. In this paper, we present a visual depth guided method to remove reflections. Our idea is to use Depth of Field (DoF) to label the background and reflection edges. We propose a DoF confidence map where pixels with highe... View full abstract»

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  • A comparison of food portion size estimation using geometric models and depth images

    Publication Year: 2016, Page(s):26 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (375 KB) | HTML iconHTML

    Six of the ten leading causes of death in the United States, including cancer, diabetes, and heart disease, can be directly linked to diet. Dietary intake, the process of determining what someone eats during the course of a day, provides valuable insights for mounting intervention programs for prevention of many of the above chronic diseases. Measuring accurate dietary intake is considered to be a... View full abstract»

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  • Efficient keypoint detection and description using filter kernel decomposition in scale space

    Publication Year: 2016, Page(s):31 - 35
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (870 KB) | HTML iconHTML

    Keypoint detection and description in a continuous scale space achieves better robustness to scale change than those in a discretized scale space. State-of-the-art methods first decompose a continuous scale space into M + 1 component images weighted by M-order polynomials of scale σ, and then reconstruct the value at an arbitrary point in the scale space by a linear combination of the compo... View full abstract»

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  • Towards multi-scale feature detection repeatable over intensity and depth images

    Publication Year: 2016, Page(s):36 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1008 KB) | HTML iconHTML

    Object recognition based on local features computed at multiple locations is robust to occlusions, strong viewpoint changes and object deformations. These features should be repeatable, precise and distinctive. We present an operator for repeatable feature detection on depth images (relative to 3D models) as well as 2D intensity images. The proposed detector is based on estimating the curviness sa... View full abstract»

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  • On the generality of neural image features

    Publication Year: 2016, Page(s):41 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (128 KB) | HTML iconHTML

    Often the filters learned by Convolutional Neural Networks (CNNs) from different image datasets appear similar. This similarity of filters is often exploited for the purposes of transfer learning. This is also being used as an initialization technique for different tasks in the same dataset or for the same task in similar datasets. Off-the-shelf CNN features have capitalized on this idea to promot... View full abstract»

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  • Image feature extraction based on spectral graph information

    Publication Year: 2016, Page(s):46 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB) | HTML iconHTML

    Graphs have been widely used in image processing and understanding tasks. We introduce a novel graph generation model which greatly reduces the size of the traditional pixel-based graph. Based on the generated graph, we propose two feature extraction methods which utilize spectral graph information, and apply the features to image. Experiments show that our proposed oscillatory image heat content ... View full abstract»

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  • Visual location search using symmelets

    Publication Year: 2016, Page(s):51 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1054 KB) | HTML iconHTML

    SURF is a robust and useful feature detector to various vision-based applications but lacks of the ability to detect symmetric objects. This paper proposes a new symmetrical SURF descriptor to detect all possible symmetric pairs via a mirroring transformation. With this symmetrical descriptor, a novel feature named “symmelet” is introduced and used in scene representation and effecti... View full abstract»

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  • Nuclear-norm regularized neighborhood preserving projection

    Publication Year: 2016, Page(s):56 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (337 KB) | HTML iconHTML

    We propose a nuclear-norm regularized two-dimensional neighborhood preserving projection (2DNPP) for extracting representative 2D image features. Note that 2DNPP extracts neighborhood preserving features through minimizing the reconstruction error, but the Frobenius norm based metric is sensitive to noise and outliers. To make the distance metric more reliable and model the neighborhood reconstruc... View full abstract»

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  • JPEG on STEROIDS: Common optimization techniques for JPEG image compression

    Publication Year: 2016, Page(s):61 - 65
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (127 KB) | HTML iconHTML

    Despite its age, JPEG (formally, Rec. ITU-T T.81 - ISO/IEC 10918-1) is still the omnipresent image file format for lossy compression of photographic images. While its rate-distortion performance is not competitive with state-of-the-art schemes like JPEG 2000 or HEVC, manifold techniques have been developed over the years to improve its compression performance. This article provides a short review ... View full abstract»

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  • FLIF: Free lossless image format based on MANIAC compression

    Publication Year: 2016, Page(s):66 - 70
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (297 KB) | HTML iconHTML

    We present a novel lossless image compression algorithm. It achieves better compression than popular lossless image formats like PNG and lossless JPEG 2000. Existing image formats have specific strengths and weaknesses: e.g. JPEG works well for photographs, PNG works well for line drawings or images with few distinct colors. For any type of image, our method performs as good or better (on average)... View full abstract»

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  • HEVC still image coding and high efficiency image file format

    Publication Year: 2016, Page(s):71 - 75
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (193 KB) | HTML iconHTML

    The High Efficiency Video Coding (HEVC) standard includes support for a large range of image representation formats and provides an excellent image compression capability. The High Efficiency Image File Format (HEIF) offers a convenient way to encapsulate HEVC coded images, image sequences and animations together with associated metadata into a single file. This paper discusses various features an... View full abstract»

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  • Daala: A perceptually-driven still picture codec

    Publication Year: 2016, Page(s):76 - 80
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (147 KB) | HTML iconHTML

    Daala is a new royalty-free video codec based on perceptually-driven coding techniques. We explore using its keyframe format for still picture coding and show how it has improved over the past year. We believe the technology used in Daala could be the basis of an excellent, royalty-free image format. View full abstract»

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