EP3022909A1 - Method of adaptive broadcasting of multimedia streams by using an energy index - Google Patents
Method of adaptive broadcasting of multimedia streams by using an energy indexInfo
- Publication number
- EP3022909A1 EP3022909A1 EP14739490.2A EP14739490A EP3022909A1 EP 3022909 A1 EP3022909 A1 EP 3022909A1 EP 14739490 A EP14739490 A EP 14739490A EP 3022909 A1 EP3022909 A1 EP 3022909A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- representation
- energy
- terminal
- multimedia
- values
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
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- 230000003044 adaptive effect Effects 0.000 title claims abstract description 7
- 238000005265 energy consumption Methods 0.000 claims abstract description 25
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/4424—Monitoring of the internal components or processes of the client device, e.g. CPU or memory load, processing speed, timer, counter or percentage of the hard disk space used
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
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- H—ELECTRICITY
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- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/136—Incoming video signal characteristics or properties
- H04N19/14—Coding unit complexity, e.g. amount of activity or edge presence estimation
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- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/156—Availability of hardware or computational resources, e.g. encoding based on power-saving criteria
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
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- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
- H04N21/23439—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements for generating different versions
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- H04N21/443—OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
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- H04N21/462—Content or additional data management, e.g. creating a master electronic program guide from data received from the Internet and a Head-end, controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
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Definitions
- the object of the invention relates to a method and a system for adaptive streaming of multimedia streams (choice of the representation to download), between a server and one or more terminals using at least one energy criterion consumed by the terminal . It applies, for example, to mobile terminals with limited autonomy, especially when a user wants to view videos broadcast on the Internet.
- data content is distributed through servers managed by service providers.
- a user in order to receive specific content, a user will issue a request to a server that stores this content.
- the user will receive this data generally on a mobile phone, tablet or other equivalent device.
- the generalization of high-speed access, 4G networks for example, as well as the advent of high efficiency video coding compression standard HEVC (High Efficiency Video Coding) will lead to a use of online video more important than that observed today. 'hui.
- HEVC High Efficiency Video Coding
- the problem of the autonomy of mobile terminals is therefore a crucial problem.
- consumption reduction techniques are known to partially overcome this problem. These techniques are implemented by the manufacturers of integrated circuits.
- the current adaptive streaming or "adaptive streaming” solutions adopt a strategy for selecting segments or pieces of audio / video media to download, based solely on the resolution / bit rate. So, if the network conditions are good, the terminal will be able to select and decode segments of high resolution and high bit rate, leading to a high decoding complexity.
- the "green MPEG" working group proposes to introduce a third selection criterion of the video segments to download which is the energy consumption.
- An object of the present invention is to propose a method which relies on the use of an index expressing in relative terms the energy necessary for the decoding of a stream or representation with respect to the most energy-intensive stream for a content d given information, this independently of the encoder used to code the segments and the terminal processor, as well as additional indices to deduce the energy required for a visual and sound reproduction of acceptable quality.
- Another objective is to have a second index corresponding to the energy necessary for the decoding of a segment of a stream or representation at a time t relative to the preceding segment of the same stream or representation at the instant t- 1, which optimizes energy management in certain use cases.
- the method according to the invention is preferably used for terminals operating on battery but may also have an interest for a device powered on the sector.
- the invention relates to a method for adaptively broadcasting multimedia data stream or representation F, originating from a service provider, during a download between a receiving terminal and a server of the service provider, according to a criterion of energy, characterized in that it comprises at least the following steps:
- ⁇ Determining, for N representations, at least a first energy index by calculating for each of the representations F, of a multimedia segment, a value of energy E, (t) consumed to decode the representation F ,, the maximum value of energy ⁇ ⁇ 3 ⁇ ( ⁇ ) associated with the most energy consumer and corresponding report values
- the method determines a second index corresponding to a ratio value for a representation F
- this second index value is used to analyze the evolution of the representation and anticipate / adapt the need for energy saving.
- the method may also include the following steps:
- the method also determines the basic characteristics of the histograms of the brightness and / or color values of the pixels corresponding to the multimedia segments.
- the process then comprises the following steps:
- the method comprises for example the following steps:
- the data processed by the method are video data.
- the multimedia data streams are, for example, coded in a single layer or in several interdependent layers.
- the energy values of the representations are based on an estimation of the decoding complexity of each of the representations and the method uses the basic characteristics of the histograms of the brightness and / or color values of the pixels of the video segment images, of the population type. by class of brightness and / or color values, to estimate the consumption of the terminal screen for a visual and sound reproduction of acceptable quality, whatever the backlight type in the case of LCD liquid crystal technology or the type of lighting integrated into each color pixel in the case of the OLED (Organic Light-Emitting Diode) electroluminescent technology.
- the invention also relates to a system for managing the choice of the representation or flow of multimedia data coming from a service provider, during a download between a receiving terminal and a server, according to the energy available to the user.
- the service provider comprises a module adapted to perform the steps of the aforementioned method and in particular to calculate at least one energy index corresponding to the ratio of the energy required to decode a representation F, compared to the representation which generates the highest energy consumption.
- the system may comprise a module adapted to extract the fundamental characteristics of the histograms from the brightness and / or color values of the pixels corresponding to the multimedia segments, the server storing the multimedia data, and the reception terminal comprising a module for calculating the energy consumed for decoding and playback of a stream F ,, a media player adapted to choose the representation F, depending on the measured energy value and the energy saving constraints imposed on the player, means of communication with the server.
- the energy index calculation module is also adapted to determine a value corresponding to the energy at a time t and to the energy at a moment
- the system comprises, stored on the server, a manifest file describing the nature and the storage address of the available representations, or else data fields pointed by the manifest file comprising, for N flux F, said index of energy the index
- the receiving terminal is, for example, a mobile terminal comprising a screen and the representation is a video stream
- the service provider module is adapted to estimate the decoding complexity of this video stream
- it comprises a module adapted to provide data to estimate the consumption of a screen of the user terminal for visual and sound reproduction of acceptable quality.
- the system may comprise a module adapted to extract the fundamental characteristics of the histograms from the brightness and / or color values of the pixels of the video segment, a manifest file comprising, for N flux F, said energy index and said fundamental characteristics of the images.
- H (component x) histograms or a pointer to data fields comprising these metadata.
- H (component x) refers to the histograms established from the brightness and color components of the video images.
- the invention also relates to a terminal for receiving at least one multimedia representation F, originating from a server, said terminal comprising at least one module for calculating the energy consumed for decoding and restitution of said representation on a network. or more segments, said terminal being characterized in that it comprises a module adapted to define the energy saving strategy offering the optimal quality of reproduction and to choose automatically or manually a representation among several of said representations, said representations being defined by a power consumption indicator of the representation of said flow with respect to the representation of said flow having the maximum consumption and / or an indicator of the fundamental characteristics of the histograms of the brightness and / or color values of the pixels of the video segment.
- the automatic choice is made by comparing a parameter representative of a duration of said flow with a datum representative of the energy available on the terminal.
- the terminal includes, for example, a video data player and a screen for viewing video data.
- FIG. 1 the basic modules of a service provider used to calculate the energy index associated with a data stream on the encoder side of the system
- FIG. 2 the system of FIG. 1 associated with a module for formatting the data streams
- FIG. 3 a complete system comprising the encoder-side system, a server and a mobile terminal,
- FIG. 7 an example of translation of the decoding ratio metadata in the repository of the client terminal of the current time
- the description which follows is given by way of illustration and in no way as a limitation, in order to make the method according to the invention better understood in the case of a representation or video stream that a user wishes to download on his terminal.
- the terminal word in the example given refers to a mobile phone, a tablet or any connected device for receiving multimedia streams. It can be used, without departing from the scope of the invention, in the case of streams or multimedia data, audio, etc.
- multimedia stream may designate various programs, such as video games, movies, music, which are distributed through communication networks.
- the basic characteristics of the histograms make it possible to describe or characterize a histogram. This can be the population counted in each class of values in the histogram or population counted above or below different value thresholds.
- the multimedia source content is divided into several segments of a size that can be variable, which are then coded (for example compressed) with different values of rates and / or resolutions thus constituting the various available representations.
- These representations are stored on a server and accompanied by an index file that can be dynamic (manifest file) describing the nature and storage address of the representations available.
- index file can be dynamic (manifest file) describing the nature and storage address of the representations available.
- representation in the present description thus refers to a set of coded data with selected compression parameters, or data streams.
- a representation is provided at a given time for a duration that can be predefined by the application or not defined in the case of a live application or "live".
- FIG. 1 shows an example of a service provider architecture, in which the video data Di is transmitted to a first encoder 1 0 0 which will produce a compressed stream corresponding to a first video representation Fi, the stream is coded at a first time.
- first rate value Qi and a resolution value Pi This video representation F is transmitted to a decoder 1 1 0 and to a module 1 2 0 adapted to calculate the decoding complexity of this video representation.
- the encoder 1 0 0 also provides histograms H (component x) of the brightness and color values of the video images to a module 1 3 0 adapted to extract fundamental characteristics for a visual and sound reproduction of acceptable quality, such as by for example, a list of pairs (level of saturation of the luminosity of the pixels of the video stream, level of degradation introduced by this saturation).
- the decoding complexity calculation modules and the module for calculating the fundamental characteristics of the histograms are connected to a processor 140.
- the module 1 2 estimates the decoding complexity C d (Fi) of the video representation F 1. This step is executed for the N encoders 1 0 -i, 1 0 2 , ... 1 0 N of the system which generate N different representations, N flow rates Q N , N resolutions P N. Each encoder 1 0, is connected to a module 1 2, to calculate the decoding complexity of a representation video. In the case of an application where the content is encoded and transmitted in real time (case of a "Live" application), the decoding complexity at time t is that of the video segment starting at time t.
- the decoding complexity at time t may be the average complexity considered. from the instant t to the final moment of the video content.
- the encoder 10 0 is also connected to a single module 13 0 adapted to calculate the fundamental characteristics of the pixel brightness histogram.
- the processor 140 determines the highest value E max of energy Ei (t) among the N values E, (t).
- the value of the energy E, (t) for a representation F takes into account the decoding complexity of the representation, for example in the number of processing cycles. From these energy values, the processor 140 will determine at least one ratio value for a representation F,
- the processor will also determine, for each of the N representations F, a second ratio by calculating the
- the decoding complexity at time t is that of the video segment starting at time t.
- the decoding complexity at time t may be the average complexity of the instant t until the final moment of the content while the decoding complexity at time t-1 can be the average complexity taken from the initial moment to time t.
- (t-1) means the past and the future
- (t-1) refers to the average complexity of all that we have played since the start and t all that remains to play.
- These report values are for example stored in the manifest file or in data fields pointed by the manifest file and associating a representation F ,, a subscript. This second index used
- the terminal in particular to monitor the evolution of a representation, makes it possible to adapt more finely the display strategy of a representation, for example, the terminal will be able to choose a more complex representation, of better quality in restitution of images if its reserve of energy allows it, and tend towards an optimum of quality.
- the system will thus have a file in which, for a given representation F, at a time t , it associates at least a first index PSRfmmMaxi representative of the energy or energy saving that can be achieved when the one chooses to download one representation rather than another, and a second index PSRfwm Pr evi representative of the evolution of complexity and therefore of the energy necessary for the decoding of a representation.
- the scale will for example be chosen according to the control accuracy of the processors of the terminals.
- ratio values can be normalized on any scale, for example an 8 or 16 bit percentage scale.
- PSRfromMaxi systematically expressing a reduction can be expressed as a percentage on an unsigned 7 or 8-bit integer.
- the client terminal can subtract the offset from the value retrieved on the server to obtain the percentage to be considered.
- the percentage is positive, it means that the ith representation F, (t) of the current video segment at time t is less complex than the ith representation of the segment at the previous instant t-1, Fj (t-1 ), and the reduction in complexity is given by its percentage. If the percentage is negative, it means that the ith representation of the current video segment at time t is more complex than the ith representation of the previous video segment and the increase in complexity is given by the absolute percentage.
- the value of the PSRfromMaxi report and the PSRfrom Pr evi value are included as metadata associated with a representation, for example, in a manifest file 150 or in data fields pointed to by the manifest file.
- the most energy-hungry stream is identified by a zero value of PSR.
- a relative value of PSRfromMaxi is indicated.
- the relative values are, for example, expressed either in percent% or in discretized form on a graduated scale, for example by values +1, +2, etc.
- the manifest file 150 includes, for example, the indices - and - for each of the N flux F ,, and the characteristics
- H (component x) histograms of brightness values or a pointer to data fields containing these metadata.
- the manifest file 150 or the data fields pointed to by the manifest file can be updated regularly to keep the relative energy consumption status of the representations up to date.
- this manifest file may be analyzed more or less regularly, this depending in particular on the accuracy required by the application. For example, for an application requiring a high reactivity, the method will look at the information of the manifest file for each segment that it will download, while for other types of application, the information will be provided only on the program in general. It is also possible to trigger a request for all "n" segments.
- the flows or representations of the data from the encoders 10 1 , 10 2 ,... 10 N, are shaped and encapsulated, FIG.
- the server includes several memories, a memory 301 for storing the data streams.
- the manifest file 150 or the data fields pointed by the manifest file comprise for each representation F, the value or the values of PSRfromMaxi and PSRfromVrevi stored on the server 30.
- the server also contains a manager for dynamically managing the requests of a user.
- FIG. 3 and FIG. 4 illustrate an example of exchanges between a reception terminal 40, the server 30 and a service provider 10.
- the service provider transmits 500 a manifest file 150 to the server thus defining the set of available representations.
- the user or terminal comprises, for example, a power supply 401 (which can be a battery in the case of a mobile terminal), a processor 402 on which a multimedia player 405 operates, adapted to perform the steps of the method according to the invention, a display screen 403, a monitoring module 404 of the power consumption of the power supply, one or more loudspeakers 406, communication means 407 with the server, these communication means being known to the man of career.
- the receiving terminal 40 transmits, 501, to the server 30 a request Rq for downloading a video representation F, containing a transmission that it wishes to display, for example.
- the reader of the terminal will determine according to the state of the network (available bandwidth determined from the capacity and the load of the network), the representation to be downloaded among the N available representations described in the manifest file. It begins to download and play the representation F ,, 502, and at the same time it monitors, 503, the power consumption of the battery 401 for decoding and restitution of the representation F ,.
- the reader of the terminal 40 will estimate whether it will have enough energy to download, decode and display the entire content . If so, it will continue to download the representation F, or even afford to download a more complex representation but better.
- the processor or processors of the terminal will calculate how much they must reduce their energy consumption, for example by x% compared to the current representation.
- the processor (s) must then choose the best energy saving strategy to maintain an optimal quality of rendering between a saving of energy on the screen or on the decoding. They will choose between keeping the same representation F, decoding and acting on the restitution of this representation or else select another representation F ,, 504, 505, if the energy reserve of the terminal is deemed insufficient to restore, over time desired, the multimedia content on the basis of the representation F ,, for example.
- the processor (s) have the following information for it:
- the energy saving indices PSRfromMax (i) based on the decoding complexity ratios of each representation i retrieved from the server and expressed with respect to the most complex representation (0) can be expressed with respect to the current representation (the one we used at time t-1) that we will call RefRep.
- PSRJromRefRep (i) 1 - ((1 -PSRfromMax (i)) / (1 -PSRfromMax Re f Re p)).
- the PSR_fromRefRep (i) are illustrated by the arrows D 3 in FIG. 7.
- the PSR_fromPrevRefRep (i) are illustrated by the arrows D 4 in Figure 8.
- the data on the values or values of the brightness and / or color components for each video segment make it possible to measure the possible margin of maneuver on the side of the increase in brightness of the components of the pixels and the associated decrease in the supply voltage of the LEDs. or OLEDs for the terminal.
- the knowledge of the energy consumed by the decoding and by the visual restitution of the representation selected on the last segment (s) downloaded and the knowledge of the possible energy saving ratios for the decoding of the different representations and for the restitution make it possible to perform the following arbitration at the level of the module 514 (FIG. 5): the desired x% energy saving is distributed between a y% energy saving on the screen side and a z% energy saving desired decoding side. It is then possible to select on the server the representation Fj, 505, 520, adapted from the pre-calculated energy saving ratios, as well as the modification of the brightness values of the pixels of the representation and the associated backlighting. 521 ( Figure 5.
- FIG. 6 illustrates another example of a strategy of energy saving in decoding and display, in which the terminal can seek an optimal quality of representation and consume all the available energy allocated to it over the fixed duration.
- the terminal tests, 601, whether the reduction in decoding energy consumption, represented by the arrow D in FIGS. 7 or 8, and of display for the next segment is greater than the need for energy reduction, represented by the arrow D 5 in FIG. 8, or if the increase in decoding and display energy consumption for the next segment is less than the increase in energy possible to reach the average consumption targeted: ⁇ If so, then 602, the method will test whether the terminal has an optimum display quality strategy,
- the user terminal can select, 603, a higher quality but more energy consuming representation and / or a decrease in brightness saturation,
- the terminal will not change its representation and will not adjust the brightness
- the process tests, 605, whether the decoding and display power consumption reduction for the next segment is lower than the energy reduction requirement or if the increase in power consumption decoding and display for the next segment is greater than the increase in energy possible to reach the average consumption target,
- the terminal will select a lower quality but less consuming representation and / or an increase in brightness saturation, 606,
- the terminal will not change its representation and will not adjust the brightness.
- FIG. 8 makes it possible to graphically illustrate this strategy: the terminal will select the representation whose upward or downward variation in the upward or downward decoding energy consumption with respect to the preceding segment (represented by the arrow D 4 ) is the closest to the desired energy consumption variation (represented by the arrow Di).
- the arrow D 2 represents the variation of consumption with respect to the most energy consuming representation.
- the method according to the invention has the following advantages in particular: the encoder is capable of determining a value of energy saving ratio for each representation with respect to the maximum value of energy consumption, which makes the process independent of the encoder technology used and the type of terminal that will receive these streams.
- the encoder is capable of determining a value of energy saving ratio for each representation with respect to the maximum value of energy consumption, which makes the process independent of the encoder technology used and the type of terminal that will receive these streams.
- taking into account revolution of the decoding complexity of a current segment with respect to the decoding complexity of the segment at a previous time it is possible to obtain the best decoding and display strategy. of a representation.
- the receiving terminal is able to adapt the representation to be used according to the remaining energy of its battery, or the required quality of reproduction, because it knows the desired duration of use or to provide the possible duration of use of the current representation.
- the energy index used to choose the data stream to download is independent of the user's processor and the encoder used by the service provider.
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Abstract
Description
Claims
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1357127A FR3008838B1 (en) | 2013-07-19 | 2013-07-19 | ADAPTIVE DIFFUSION METHOD OF MULTIMEDIA STREAM USING ENERGY INDEX |
FR1450092A FR3008839B1 (en) | 2013-07-19 | 2014-01-07 | ADAPTIVE DIFFUSION METHOD OF MULTIMEDIA STREAM USING ENERGY INDEX |
FR1452560A FR3008842B1 (en) | 2013-07-19 | 2014-03-26 | ADAPTIVE DIFFUSION METHOD OF MULTIMEDIA STREAM USING ENERGY INDEX |
PCT/EP2014/065439 WO2015007868A1 (en) | 2013-07-19 | 2014-07-17 | Method of adaptive broadcasting of multimedia streams by using an energy index |
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US9942577B1 (en) * | 2016-02-23 | 2018-04-10 | Amazon Technologies, Inc. | Dynamic objects caching for media content playback |
US10389785B2 (en) * | 2016-07-17 | 2019-08-20 | Wei-Chung Chang | Method for adaptively streaming an audio/visual material |
FR3074629A1 (en) * | 2017-12-05 | 2019-06-07 | Orange | METHOD FOR MANAGING THE ELECTRIC CONSUMPTION OF AN ELECTRONIC DEVICE |
US11196795B2 (en) * | 2020-03-25 | 2021-12-07 | Arris Enterprises Llc | Method and apparatus for predicting video decoding time |
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JP2006507728A (en) * | 2002-11-21 | 2006-03-02 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | Scalable video compression based on remaining battery capacity |
WO2006047387A2 (en) * | 2004-10-26 | 2006-05-04 | Burwen Technology Inc | Unnatural reverberation |
US8203579B2 (en) * | 2007-12-26 | 2012-06-19 | Sharp Laboratories Of America, Inc. | Methods and systems for backlight modulation with image characteristic mapping |
WO2009134230A1 (en) * | 2008-05-02 | 2009-11-05 | Thomson Licensing | Method and apparatus for power saving in staggercasting |
TWI382711B (en) * | 2008-10-09 | 2013-01-11 | Realtek Semiconductor Corp | Communication device with adjustable consuming power and method thereof and ethernet communication device |
CN101466039B (en) * | 2008-12-31 | 2011-04-13 | 中国科学院计算技术研究所 | Device and method for decoding video |
US8750882B2 (en) * | 2009-06-16 | 2014-06-10 | Lg Electronics Inc. | Method for cooperative control of power among base stations and base station device using same |
US8306238B2 (en) * | 2009-06-17 | 2012-11-06 | Sony Ericsson Mobile Communications Ab | Method and circuit for controlling an output of an audio signal of a battery-powered device |
US9124642B2 (en) * | 2009-10-16 | 2015-09-01 | Qualcomm Incorporated | Adaptively streaming multimedia |
CN102668579A (en) * | 2010-10-05 | 2012-09-12 | 英特尔公司 | Method and apparatus for dynamically adjusting video quality |
CN102547272B (en) * | 2010-12-30 | 2015-03-11 | 中国移动通信集团公司 | Decoding method, device and terminal |
US20130039431A1 (en) * | 2011-08-12 | 2013-02-14 | Electronics And Telecommunications Research Institute | Power-scalable encoding/decoding apparatus and method |
US9241166B2 (en) * | 2012-06-11 | 2016-01-19 | Qualcomm Incorporated | Technique for adapting device tasks based on the available device resources |
US10154258B2 (en) * | 2012-07-09 | 2018-12-11 | Vid Scale, Inc. | Power aware video decoding and streaming |
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FR3008842A1 (en) | 2015-01-23 |
FR3008839B1 (en) | 2017-07-21 |
CN105580366A (en) | 2016-05-11 |
FR3008839A1 (en) | 2015-01-23 |
FR3008842B1 (en) | 2017-09-08 |
FR3008838A1 (en) | 2015-01-23 |
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