Abstract: A method comprising signaling (102) in a data structure metadata representative of an energy consumption induced by encoding tools and/or features implemented to obtain a video stream representative of a sequence of pictures; and, associating (103) the data structure to the video stream for at least one subset of pictures representative of a period of the video stream; wherein at least one encoding tool or feature is associated to an information representative of an energy consumption depending on: a single reference picture size defined for the sequence of pictures; or, a total number of blocks of a given size in pictures signaled in the metadata for the at least one subset of pictures; or, a number of samples per square and rectangular blocks

Abstract: A method for video decoding pictures comprising: reconstructing (701) a picture at a first spatial resolution; and, obtaining (702) metadata associated to said picture representative of an information specifying that applying at least one in-loop filtering and/or at least one post-filtering on at least a portion of said reconstructed picture at a second spatial resolution different from the first resolution is allowed.

Abstract: A method of controlling energy consumed by a multimedia streaming application executed in a multimedia streaming system, the method comprising: receiving (358), at an end-user device, a message including information representative of energy consumed by at least one node of the multimedia streaming system when applying at least one process on content having a first profile delivered by the multimedia streaming application prior to delivering the content having the first profile to the end-user device; and requesting (359), at the end-user device, content having a second profile based on the received information representative of the energy consumed by the at least one node.

Abstract: A method comprising: receiving at least one bitstream comprising encoded video data and a message corresponding to said encoded video data and decoding said message, said message comprising for each coding tool of a plurality of coding tools used for encoding the video data, information representative of an energy consumed by a device in charge of decoding and/or displaying the encoded video data induced by said coding tool and information representative of an impact of said coding tool on a quality of the encoded video data after decoding; using the information comprised in the decoded message to select at least one coding tool of the plurality of coding tools to deactivate or modify; and, decoding the encoded video data by using a decoding process wherein the selected coding tools are deactivated or modified.

Abstract: The disclosure relates to a method including applying a first format modification to an audio and video input content in a first format to output a content complying with a second format, information about the first format modification being associated to the output content. The disclosure also relates to a method including obtaining an audio and video input content complying with an input format and information about a first format modification applied to the input content and determining a second format modification to apply to the input content by taking account of the first format modification. It also relates to corresponding signal, devices, electronic assembly, system, computer readable program products and storage media.

Abstract: A device and a method for outputting video content for display on a display. At least one processor displays a first video content on the display, receives a second video content to display, obtains a first luminance value for the first video content, extracts a second luminance value from the second video content, adjusts a luminance of a frame of the second video content based on the first and second luminance values and outputs the frame of the second video content for display on the display. The video content can comprise frames and a luminance value can be equal to an average frame light level for the most recent L frames of the corresponding video content. In case a luminance value is unavailable, a Maximum Frame Average Light Levels of the first video content and the second video content can be used instead.

Abstract: In image segmentation it is usually assumed that all the surfaces of a scene are reflecting light in a perfectly diffuse or Lambertian manner. However, most existing surfaces are non-Lambertian surfaces. Examples of non-Lambertian surfaces are specular, glossy or mirror-like surfaces whose appearance may change depending on the point of view of the scene. The method according to an embodiment of the invention does not make the assumption that surfaces of objects in the view are perfect Lambertian reflectors by providing a surface color segmentation which takes into account the change in appearance due to the nature of the surfaces.

Abstract: The disclosure relates to a method including applying a first format modification to an audio and video input content in a first format to output a content complying with a second format, information about the first format modification being associated to the output content. The disclosure also relates to a method including obtaining an audio and video input content complying with an input format and information about a first format modification applied to the input content and determining a second format modification to apply to the input content by taking account of the first format modification. It also relates to corresponding signal, devices, electronic assembly, system, computer readable program products and storage media.

Abstract: A content stream comprising video and synchronized illumination data is based on a reference lighting setup from, for example, the site of the content creation. The content stream is received at a user location where the illumination data controls user lighting that is synchronized with the video data, so that when the video data is displayed the user's lighting is in synchronization with the video. In one embodiment, the illumination data is also synchronized with events of a game, so that a user playing games in a gaming environment will have his lighting synchronized with video and events of the game. In another embodiment, the content stream is embedded on a disk.

Abstract: In image segmentation it is usually assumed that all the surfaces of a scene are reflecting light in a perfectly diffuse or Lambertian manner. However, most existing surfaces are non-Lambertian surfaces. Examples of non-Lambertian surfaces are specular, glossy or mirror-like surfaces whose appearance may change depending on the point of view of the scene. The method according to an embodiment of the invention does not make the assumption that surfaces of objects in the view are perfect Lambertian reflectors by providing a surface color segmentation which takes into account the change in appearance due to the nature of the surfaces.

Abstract: The present principles are directed to a parameterized OETF/EOTF for processing images and video. The present principles provide a method for encoding a picture, comprising: applying a parameterized transfer function to a luminance (L) signal of the picture to determine a resulting V(L) transformed signal; encoding the resulting V(L); wherein the parameterized transfer function is adjusted based on a plurality of parameters to model one of a plurality of transfer functions. The present principles also provide for a method for decoding a digital picture, the method comprising: receiving the digital picture; applying a parameterized transfer function to the digital picture to determine a luminance (L) signal of the digital picture, the parameterized transfer function being based on a plurality of parameters; wherein the parameterized transfer function is adjusted based on a plurality of parameters to model one of a plurality of transfer functions.

Abstract: A content stream comprising video and synchronized illumination data is based on a reference lighting setup from, for example, the site of the content creation. The content stream is received at a user location where the illumination data controls user lighting that is synchronized with the video data, so that when the video data is displayed the user's lighting is in synchronization with the video. In one embodiment, the illumination data is also synchronized with events of a game, so that a user playing games in a gaming environment will have his lighting synchronized with video and events of the game. In another embodiment, the content stream is embedded on a disk.

Abstract: Selecting at least one surface in a light field, such as a light field associated with multiple views corresponding to different view points of a same scene, may include displaying one of the multiple views as a reference view, selecting at least one surface in the reference view, identifying a set of pixels belonging to the selected surface, which are occluded in the reference view but visible in at least one of the multiple views, projecting the set of pixels into the reference view on the basis of a value of the pixels of the set in the view or views in which they are visible in order to form an upgraded reference view, displaying the upgraded reference view, and updating the selected surface in the upgraded reference view.

Abstract: For the mapping in a non-linear color space of source colors belonging to a same constant-hue leaf, instead of using a lightness mapping function based only on a cusp lightness condition stating that a source cusp color of this leaf should be mapped into a corresponding target cusp color of this leaf, it is proposed to build such a function also on other source cusp color(s) and other target cusp color(s) having hues different from that of said leaf. Preferably, the hue interval in which these other colors are considered is representative of the curvature of the non-linear color space at the position of colors of this constant-hue leaf.

Abstract: Instead of using a single LUT to model a processing function, it is proposed to use another smaller LUT, i.e. an iterative LUT, such that, when applied at least two times in succession to data to process, the same processing function is modeled with at least the same accuracy. A specific way to compute this iterative LUT is given. Specific applications are given in the field of color processing. Modeling is more accurate and/or less bins are needed to model complex functions.

Abstract: A method of obtaining one or more HDR images representative of a scene is described. To reach that aim, the method includes obtaining several LDR images representative of the scene. The method further includes identifying one or more first pixels having a pixel value that is greater than a first determined value (i.e. corresponding to underexposed pixels) or having a pixel value that is less than a second determined value (i.e. corresponding to overexposed pixels). The method further includes determining one second pixel, in one or more other LDR images, that corresponds to the first pixel. In a block of pixels centered on the second pixel, weighting values are determined that are representative of similarity between the second pixel and the other pixels of the block. A HDR image is finally obtained by determining and assigning a new pixel value to the first pixel. The new value is calculated based on weighting values and pixel values associated with pixels of a block of pixels centered on the first pixel.

Abstract: Selecting at least one surface in a light field, such as a light field associated with multiple views corresponding to different view points of a same scene, may include displaying one of the multiple views as a reference view, selecting at least one surface in the reference view, identifying a set of pixels belonging to the selected surface, which are occluded in the reference view but visible in at least one of the multiple views, projecting the set of pixels into the reference view on the basis of a value of the pixels of the set in the view or views in which they are visible in order to form an upgraded reference view, displaying the upgraded reference view, and updating the selected surface in the upgraded reference view.

Abstract: The present disclosure concerns a method for calibrating a plenoptic camera. The plenoptic camera includes a lenslet array placed between a main lens and a photosensor, the lenslet array having a plurality of lenslets. The method is remarkable in that it includes obtaining a white image W and a model that describes light scene occlusion induced by the main lens and each lenslet. For a given pixel of the photosensor, where the model is represented by a set of parameters, obtaining a first subset of parameters values from the set of parameters in the model and obtaining a second subset of parameters value from the set of parameters in the model by performing a maximum likelihood estimation method based on the model, the white image and the first subset of parameters values, and where a union of the first and the second subsets of parameters corresponds to the set of parameters.

Abstract: Aspects of present principles are directed to methods and apparatus for tone mapping a high dynamic range image. The apparatus includes a processor for performing the following and the method includes the following: obtaining a luminance component of the high dynamic range image; determining an HDR to HDR tone mapper curve; determining a tone compressed image by applying the HDR to HDR tone mapper curve to the luminance component of the high dynamic range image; wherein the HDR to HDR tone mapper curve comprises a first part for dark and mid-tone levels, and a second part for highlights.

Abstract: An aspect of present principles is directed to methods, apparatus, systems and computer readable media for image processing. The image processing may include receiving a standard dynamic range (SDR) image or a receiver for receiving a standard dynamic range (SDR) image. It may further include determining an over-exposed region of the SDR image and determining a corrected luminance value for at least a pixel of the over-exposed region, or a processor configured to determine an over-exposed region of the SDR image and a corrected luminance value for at least a pixel of the over-exposed region. The corrected luminance value is determined based on at least one of a shape of the over-exposed region, luminance information of pixels surrounding the over-exposed region, and edge information of the pixels surrounding the over-exposed region. The over-exposed region may be an irregularly shaped region.