thank you mister chairman and action yeah that into our main easement them together with those of another i will present this way we had integrating this adjustment bishop the algorithm and the G D C code the two used we have a presentation we we introduce you the as as the and uh together with a card does also have a main goal of one main object the we're yeah i move to describe that the contribution which are mainly what in in the integration of a percent of but we him members the system the and the concept of just be should distortion in the code that this kind of to see that for the high efficiency video coding standardization problem and i was also show that was at that you have a from these integration and i conclude my presentation shown shown a some future research that action that can be so you know that to improve a a of the present work let's move to the contents and that but to improve that is where we considered the increasing present an increasing route all hi we finish and and that a definition you using that multimedia applications is is using increase input we have is basically you the recent advances you you catch in this place that not this kind of nation oh you use uh it is back to that of the uh and then we and the the road you know that the pressure of the contact and force that and the know to do not see the the the physical limitation of the net force the compression efficiency must be improved the on the one about the what we consider see what they a state of you are can be you coding which is the each to just T V C step and he's emerging a has to but in general two thousand and a our proposed between an that in the high compression all in math uh two thousand and twenty seven proposals submitted for marketing and histories and set the proponents that were able to provide that two shows the same subject you could be doing this we first and that but only how the way is it and seven first about additional they do you see it can you which is 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that's positions that she is that but just the should a special trash of the for by inverting the of relation here we yeah this tension a the J D bond or my i use and in the H in the mobile into to collecting the each E C code for a a a a a special that it to the mall but and the transfer has to do that actually that a a uh and image transfer basically it is the projection of a good date thing or enough for about see well as which is uh an system was can see you the but that would result that the back of frequencies you the case for the creek as an transfer well for the kind of but but then the directional transform of these is that a reference is rotated i the to the prediction that were actually use for code for this you will have a a a a um the that's i shown that list of the uh since it to the T for the frequency band but you want high we to use that and use that the can is you notation of the J D is cube and two according to the angle at which is that the handle you for inter prediction direction it she C so you you was that this was that it stations and not like to show you some uh a a a a little was out that we have obtained it a yeah uh and that of this may then we have a a a remote particular interest in a high definition you can't and the for have used to say it did contents used but the J C T V C and that they couldn't crowd a that is a a a a a G D C code it use so has been so that that but do this shouldn't be by the joint whatever you know you go but for that that are also yeah have show that was lot a present that to but each of these two clusters right feature space is this a that an S the index where as these indices there were have been computed according to the high used iteration got in the assessment of to you we have to use it as a distortion measure the multiscale is that a similarity metric which is a a a a matter which is an extension for if a of that better well no a a similar to magic proposed but a a professor at all and uh are saying that you can find a details so to and estimate the but is that we have a the design and is based on the cost of a or sort them by and is uh at the biology actually was to find a process T a perceptually that uh a common point to between the be you know that it's being coded with a G D C code and did you get that is being coded bit a a C that we the J more to great that for to be a perceptual is the same we have able to measure but bit of that actions and i show to the bit right of action between a the J E U my and the to my i H G D C code without out the integration of the G in the model but that actions we have an average but the to the right of actions and in particular uh i as you can or the result i i try and uh well as the bit of the actions were expected it uh uh no perceptual a my it the as where X to the quantization parameters i for hi quantization position parameters you the uh see coefficient efficient a times to zero or got less the duration performed by the jury in track but but that was so we show that that the one to the actual for the but to have a sequence has this is a sequence which can is that i not a a just use me uh right that's but any major and as and the for our team that is able to actually provide a positions that as well i i have a high as how you high was not going to recognise and distortion for these kind of a you so you are same they are organising there yeah so rate distortion of for the two has to be C so a to the conclusion uh here we propose an integration of a a a a a special to email in the called that this country can see that in they each E P is not the position and and use of these good are for sure the that we can do in then improve the compression efficiency because we can going through the actions that the same perception you are they each each D C known perceptual called a a and are so we were able to provide the perceptual the position that that Q of the beginning of all of the beginning of this two uh a because we have use a a a a a that T is that the core do you know that was emission that that being or maybe proposed by a set in the last i i then basically we were able to perception of like the propositions that for each he's for each frequency could we don't and the positions decoder i uh is actually uh occur the quantization step has this advantage will show increasing computational complexity and uh show good plane to introduce source of the temporal masking mechanisms in the J email a a subjective assessment campaign or to the data with we have obtained a a double check metrics and uh but also performing a perceptual optimization of the that for that a be in the coding so these ends my presentation of what i think you for actually yeah so we have i to question you use of the ball some be used a G C actually we start that what it is not that they uh the end of the call for all but uh uh the prayer and i think that the problem is that they have to a a form another subject to campaign which is but time so as you know two find that the the call one actually actually i have a of G looks so because it it this point so uh a statistic indicate the with east which is called metric the solving our but i we have a plane so so spatial uh this you use already available to or you want to since simple the for that will you from subject hmmm a a uh do so the the the and special temporal on sounds it in asking which is based on the the little T all the the has some there as which are that and so on and and the high and money for that yeah independent from the each E C and the also uh well you need to the motion but for you don't need to extend to cheese coding tools you can use the model T with performing i actions because the that the time the the if you see we go back to use maybe go back to this equation but you close to the the is is the special thing in a mean but it to a for them more that we have used he's the proposed by professor non doing the called university you just multiply to the J and temporal to a and that to uh scott as i remember that not imply a an extension to worse the the coding to each and okay thank Q