Přepis řeči - Trends in Multimedia Signal Processing

0:00:13	ends and multimedia signal processing
0:00:15	uh i'm phil chow a
0:00:17	i i the chair of the N and S P T C so i get to be the moderator today
0:00:22	we have three panelists
0:00:24	uh they are all from
0:00:26	the sub committee on technical directions you know R T C
0:00:30	a their responsibility is to look for that
0:00:33	a new trend
0:00:34	to make sure that T C remains
0:00:36	a a relevant and vital
0:00:38	uh
0:00:40	and just go is the fact just the did that L i is the uh is the chair of that
0:00:44	committee
0:00:45	uh and his professor telecommunications at university of though
0:00:49	is interests are and
0:00:50	media retrieval and video analysis for behaviour understanding
0:00:54	and among other things he was technical co chair of i set two thousand five and general it italy
0:01:00	uh and since two thousand nine he's been coordinating a large european project on media retrieval
0:01:06	a time box is a for professor
0:01:09	and the department of electrical engineering and information technology
0:01:12	at the technical university of munich
0:01:14	"'cause" interests are any areas of audio haptic information processing and communication as well as network and other and interactive
0:01:22	multimedia media systems
0:01:23	among other things he was technical program coach
0:01:27	for a workshop the and an S P
0:01:29	workshop held and send a of france last year
0:01:32	and then uh are we got he is uh associate professor in the department of electronic
0:01:38	in the probably technical jury no in italy his interest are in compressed sensing remote sensing
0:01:44	that resilience coding
0:01:46	a distributed source coding and security for images and video
0:01:49	and among other things he is technical co chair uh
0:01:52	uh at the international conference on multimedia and expo i C any
0:01:56	a thousand twelve in melbourne australia
0:02:00	so uh
0:02:02	the important thing about a panel in my opinion is to get a audience participation
0:02:06	uh so we will leave some
0:02:07	time for sure uh to have you interact with the panelists and poke them
0:02:12	have separate pair you are
0:02:14	questions and figure out which panelist you want to address
0:02:17	um but i did want cover some basic ground so i ask each of that
0:02:21	a for just about six minutes maximum
0:02:23	each uh a and some of things that
0:02:26	a compelling to an individually
0:02:28	a and then will get to your
0:02:30	your question
0:02:31	so uh without for do what's
0:02:34	go on to
0:02:36	french
0:02:42	and
0:02:43	a a a a a time is that shot so i will have a just to two
0:02:47	a weekly interviews uh some uh ideas but before but uh i want to tell you that the general idea
0:02:53	that these be I his presentation
0:02:55	uh that is uh
0:02:58	a information of communication technologies but think that you got about the media
0:03:02	a a more a more
0:03:03	uh cost D C plenary and he's is probably that
0:03:06	that a more and then trained of the last years
0:03:09	um
0:03:10	the D C it doesn't mean just uh
0:03:12	uh between these C P source file
0:03:14	uh i C D but also with the these P is that we are
0:03:19	and that not use it to the a we if that's so for example
0:03:22	a psychology or or or source of size is uh or cognitive size
0:03:26	and uh we we should be aware that the
0:03:29	a them uh we create the leading says synapses between is these different feels uh the more we can be
0:03:35	in all that in the thing the future also in our uh are read about fields
0:03:38	and that we give you some some uh
0:03:40	um uh some hints about these uh the first one or a very to the field of uh a a
0:03:45	a a media source three about
0:03:47	uh we know that the signal processing community was able to provide the a great advances in the last years
0:03:53	of providing in
0:03:54	for example a a uh uh with descriptors for for this image is deals of music and all
0:04:00	a and uh and also all
0:04:02	uh more those uh ways matrix to make sure the that's also for
0:04:07	uh this the and and the summit again
0:04:09	but
0:04:10	is that uh uh uh we need a much more for in the future if we want to solve the
0:04:15	problem
0:04:16	uh uh and the looking up the uh a most the research in the field the
0:04:21	uh we can see that the the answer can be found the
0:04:24	uh looking also to to do research as which are a and yep to house or even not so near
0:04:30	to as uh and and of all of a for example a the representational knowledge
0:04:35	uh so for example a out to represent the context of a uh which is a
0:04:39	um uh
0:04:41	and and to be
0:04:42	lot of the possibilities to to where reach of all it's about the that
0:04:46	uh but still uh there a low uh reliable more those for doing that
0:04:50	um um
0:04:51	a a the social norm to many people use working on the uh exploiting the knowledge contained anything social media
0:04:58	for example is which all networks are two
0:05:00	um i so you've that the gain information about the uh
0:05:04	uh but they gain the uh uh a no with the made so solution is a variable you this field
0:05:09	uh a i do we are but the uh a like this kind of course it's a to the uh
0:05:13	a great techniques and will define so we don't use you more complex a more sophisticated more that's can account
0:05:20	the
0:05:20	uh these kind of information gain that allow
0:05:24	um um solving problems like a scalar E or sort with the
0:05:29	uh uh a media uh source of information like they the internet uh and and also dealing with their C
0:05:36	so only be able not the find a near duplicates or similar image is but also
0:05:41	uh image is a a or three deals or uh a music that represent the the call of the we
0:05:47	have so in a very
0:05:48	um i
0:05:50	um diversified the a and and uh uh a a a for incomplete the way
0:05:55	yeah a P K shall include the
0:05:57	uh
0:05:58	what media search engine or a uh uh a uh and and and other fields like for example more by
0:06:03	sir or i and i i like
0:06:06	you just some example that i don't have the time to come to be they'll about old of these the
0:06:11	just let me make some uh but but went the uh uh is via say that we have a very
0:06:16	large european project that that is dealing with this problem see few be it the site the
0:06:20	uh W W that will do a couple out that the doctor you you can find additional information about the
0:06:27	uh a other feel the of uh uh in the race the where
0:06:31	uh in that beside that in the uh can be really
0:06:34	the the way you of boosting the performance of core at is he's is that of uh a a a
0:06:38	a um i'm get it is or
0:06:40	a more recently a also called the a a a get the awareness less or called media i by roman
0:06:46	so source also for
0:06:47	that's in this means that we have a
0:06:49	a lot of information available
0:06:51	uh uh uh a a a a a we are
0:06:54	but in the capture for the environment much more information on that a on a a a the information that
0:07:00	you must an even perceive a wednesday in a in the environment but
0:07:05	yeah about of these information is not able to do
0:07:09	a but the get the between the knowledge at that you have of the word and that knowledge that the
0:07:13	cease thing can have a for of the word
0:07:15	again again or uh what what kind of uh a um uh a problems are open the and can be
0:07:21	exploit is feel for example interaction between uh a a a people not just a understanding it is for example
0:07:28	or but this painting get
0:07:30	the view of C i i and this thing in the verse that they you are involved in more about
0:07:34	one per of for example
0:07:36	uh social bits and on
0:07:39	um i understand the ml show
0:07:41	same the P all of the people and and using price uh of course uh uh uh making it a
0:07:47	is that the a a four or the or also
0:07:50	but in in in that the you need models uh uh all very the rush shows so uh
0:07:54	uh be of yours set so
0:07:57	um
0:07:58	well
0:08:01	we are more or less a yeah eggs so i stiff the example of a a a a i like
0:08:04	go to the uh last but
0:08:06	but to which is interfacing interface ease is the last my so we have a a a a to feel
0:08:12	the get between application which are a for very sophisticated the and the the user
0:08:17	and are so in this case uh a a a a there are a lot of of all full but
0:08:21	do you need is so for example uh for designing got the faces which are
0:08:25	uh called that list up make sure uh a a uh uh a accessible and usable or
0:08:30	uh and uh and can provide the also access to a showing the complex environment double or environment that all
0:08:37	um
0:08:38	have to very the get a a a a more complex them but
0:08:43	the problem is stiff
0:08:44	and uh
0:08:45	but
0:08:46	i i have to close
0:08:47	uh uh what's makes a look at the
0:08:49	a in the in the different life of but they are still there but
0:08:53	uh the way of looking at the problem maybe is is changing from my
0:08:57	a
0:08:59	yeah
0:08:59	sorry to russia
0:09:01	time is
0:09:02	uh
0:09:03	a lot
0:09:08	yeah thanks bill
0:09:10	i want to add to to to trends to that's just discussion is of course my very biased personal opinion
0:09:15	but these are
0:09:16	that two current track
0:09:18	so the first one dress as our quest for in most if could a communication
0:09:22	and if you look at the past you as we seen tremendous progress in the area of tell a so
0:09:26	system and this was was mainly driven by
0:09:29	at and this in this play capturing device devices
0:09:32	highly efficient or your video coding and the ever increasing uh and but from our communication networks
0:09:38	but um if you look at these conversational services that we are run or but these tell a person and
0:09:42	systems
0:09:43	i but we consider them to be a a a P directional
0:09:47	in fact if you look at the actual or audio short data communication it's really on the uni directional
0:09:52	or whatever information flow was from left to right E and from right to left
0:09:56	this more or less on relate
0:09:58	i i i is that true only in of uh
0:10:01	it communication require a stop are not only able to uh
0:10:04	be present in a remote bottom environment
0:10:07	but also that we are able to physically interact with objects or other people in this environment
0:10:12	and this we can only
0:10:14	meant to traditional or to and uh and sure
0:10:17	um about the T used by the haptic modality which addresses dresses our sense of of touch
0:10:23	J here
0:10:24	the situation changes quite a to map because mouth the for what path and the back what pop and a
0:10:29	longer independent
0:10:31	but every information you send on on uh in one direction here
0:10:34	has a direct impact on the information that flows back to you
0:10:38	because the path a couple of for the environment or fruit the human
0:10:41	and as many
0:10:43	she
0:10:44	and i but so that the and the ms P can to use an in a good position to address
0:10:49	these challenges
0:10:50	just a a a few as that might be interested for interesting for you to look at it
0:10:55	it's the about up an M P three for have ticks yeah something that is exploiting the put set to
0:11:00	a limitations of human haptic perception
0:11:02	rather than what we are used to you and your
0:11:05	that's to find objective quality metrics something that is to get a virtual in existing in a have the communication
0:11:12	that's that the record and play back of a physical interaction session
0:11:16	something that is fundamentally different from the easy recording and replay of audio and video
0:11:21	but just to do with the couple of of the two path
0:11:23	and other topics spread but were familiar with like our a control ever was so and C and set are
0:11:28	and the them to to yeah have have to communication
0:11:33	the second "'cause" trying and that what would like to mention he has my about or a localisation
0:11:38	so basically the I
0:11:39	to a couple of a local uh you location
0:11:42	for which choose a be that you capture from a more about device that is equipped with a camera
0:11:47	then to i would say the most promising approach in this eh
0:11:51	is
0:11:52	to infer your location by retrieving the most similar image
0:11:55	from a to attack reference to that base so it boils down to a content based image retrieval problem
0:12:00	but might say a content based image retrieval was something but has been studied extensively during the past menu first
0:12:06	so what is it that the and the P community could contribute to that field
0:12:10	yeah
0:12:11	so that's take a
0:12:12	a system perspective here
0:12:14	and and of running such a system would be
0:12:17	you extract salient features on your mobile terminal
0:12:20	you by a compressed them you on mister of a farm in the network
0:12:23	the prefer the actual image which tree will stop but um step in in on the server found use inference
0:12:29	the back of visual words
0:12:31	and try and location estimate to the mobile terminal
0:12:35	if to look at the system perspective for the round trip time the output of compressed features
0:12:39	uplink capacities is typically quite constraint
0:12:42	and the process but in but F T
0:12:44	we problem never be able to get this morning at a frame rate and which few location
0:12:49	a a a twenty five
0:12:51	um that's per second
0:12:52	so to this community he could we up the system perspective
0:12:57	and basically we consider the question
0:13:00	a process should run at which point
0:13:02	yeah what what is happening on the map about have an of what is happening in the network
0:13:06	and what type of information is exchanged between the two D but to be able to get
0:13:11	a push or can at a local solution
0:13:13	uh i'm going to yeah we different
0:13:16	but channel that the assumption so i'm that the at which is also it would be interesting to look
0:13:20	that for must be community it is that now the query we in which that you have that you capture
0:13:26	and the corresponding
0:13:28	yeah
0:13:28	i i for a or location
0:13:30	that can be there sure but with different to just to illustrate that
0:13:34	can to sit than in the names also required that is to kind of run most outside of our campus
0:13:39	if you to it just what the see that chat was
0:13:42	but cars but that's true
0:13:45	to a sparse way
0:13:46	we have uh a map out to buy so that might be motion blur
0:13:49	the can image of the reference to that might be a recorded at different seasons went to and and spain
0:13:56	um um
0:13:57	the on the cover innovation
0:13:58	that just in the scene might change
0:14:00	so that two in just that match actually might be a to similar in most parts
0:14:05	and you have to focus on the really similar parts
0:14:08	different that
0:14:09	oh some cooking
0:14:11	a a program here
0:14:12	i could the and the ms P and uh sessions i could identify if the papers that address this issue
0:14:19	can be it after one in and the S P L two session
0:14:23	and two already but presented us that day so i would say that is actually could quite some activity in
0:14:28	the C of that with the like vector
0:14:30	from
0:14:33	thank you a card
0:14:43	a so my presentation will be mostly focus on multimedia delivery
0:14:47	i try to make a least of all D an important aspects for multimedia lever in in out of the
0:14:52	lease is impressive because multimedia delivery actual response
0:14:56	several different application domains some technology to make domains
0:14:59	so we have a T V C for the signal presentations and network coding cross later
0:15:04	optimization
0:15:05	or or communication and working and H T T P and R to be for streaming
0:15:09	several networks and several applications so
0:15:12	for today i
0:15:14	a couple of interesting things and so but i'll be talking about use mainly corporation be a P to few
0:15:19	in working
0:15:20	and had to the J at uh using uh and not that agenda to using H T T P stream
0:15:25	so P to be peer has been around for some time now
0:15:29	and essentially relates to exchanging information in the corporate way using a logical network connections are built on top of
0:15:36	the physical network connection
0:15:38	and a strong trend i'm see here that is going to significantly improve pure to pure performance is the design
0:15:43	of better overlays to to look at the example of a left for example
0:15:47	a a typical you the construction of an overlay use completely unaware all the underlying network topology and so peer
0:15:53	might be connected to a not appear on the other side of the world and this increase still a and
0:15:58	decrease performance
0:15:59	well and it would be possible to use geographic graphic information to connect to use are close to each other
0:16:04	you know to reduce the number of hops
0:16:07	so
0:16:07	that obviously proves the performance and
0:16:10	this is the important thing and hours on going standardisation a force on that
0:16:14	or the application layer traffic optimization or i'll to you know i E D S which is handled that
0:16:20	and i to several essential use a database that takes as input a pair of to use
0:16:25	and provides a put the set of metrics like band which and delay but allowed to estimate the each of
0:16:30	the at the actual geographical be sounds between the two servers and the are
0:16:34	more than that
0:16:35	a P two P are also faces problems such fear reputation trust and security
0:16:40	some of those problems of fun solution in the i'm source from the working area
0:16:45	and so uh a a a a i i think interesting thing
0:16:49	additional the social networking i us to peer to peer
0:16:52	that's used as you know to help solve such problem
0:16:56	have an important thing to use uh this is true for a to be a but also um P to
0:17:00	P systems
0:17:01	future systems should look at context information about the user such as a position direction and speed of the user
0:17:08	because that information essentially defines a kind of informational content
0:17:12	that we are interested in at a even time for example
0:17:16	should take a train each turn uh try commute but not likely to be willing to watch a to our
0:17:21	movie but rather something like but but a short content
0:17:24	and that should be a to the search engines as well in such a way that's when we
0:17:29	i get at least a but best matches for our query
0:17:32	those best matches is are um
0:17:34	um
0:17:34	actually
0:17:35	to to to you D current context of the user not just general preferences
0:17:40	a the topic to to to be streaming means so for such a for for a long time multimedia delivery
0:17:45	research has been focus on the use of the R T P protocol over U U P
0:17:49	but the and had a proliferation of seven different networks like why max
0:17:53	a three point five G but i five and so and and those networks are
0:17:58	uh man it's by different for all but i was but to security problems of now have five males and
0:18:02	five rows R
0:18:03	let like to go to let U D P packet back as go through
0:18:07	so this has given rise to a for research on H T T P stream
0:18:12	just mark a different from a to P C you because in a typical the session
0:18:16	you use to several that she's packets to the client
0:18:20	we as as in H T P stream you use the kind that prince back it's from the server so
0:18:24	that's
0:18:24	that the different
0:18:25	and could it's a cost to problems including for example you hand not at or control
0:18:30	which is not so of is it more but it's client based
0:18:33	so the the the have several challenges to to to H T to be stream
0:18:37	we have to use that the it's to P stream systems are not quite as good performance wise yet
0:18:42	uh with respect to conventional systems
0:18:45	and if but if some proposed a new solution is that is it to demonstrate that is better than the
0:18:50	existing solutions because it's difficult to perform live scale experiments on three sees
0:18:56	a since it's so essential
0:18:59	so and those a problem with multiple access where use or compared in for the same band
0:19:03	"'cause" a user wants to get the maximum sure of the band and this can create
0:19:08	problems like a a position all the available benny for time that has to be a
0:19:13	and that's so its a a a a a problem of cross like optimization where
0:19:17	yeah where for each T P to have a
0:19:20	but i than the conventional T P three
0:19:23	also so gives there are several standardisation you shoes like be and back dash for example
0:19:27	and are interest
0:19:29	so that a nice paper which just been published a couple of months ago on ieee into that computing
0:19:34	that provides a nice introduction to these talk
0:19:36	so these
0:19:38	so so that in and there are many my and michael lease of touched upon some of them so
0:19:43	my my will search
0:19:44	because there are problems in multi applications of a cloud computing and comedy radio
0:19:50	is the problem of quiet you the speech three and multimedia delivery and many more so that's just my
0:19:56	a biased opinion only contract
0:19:58	that's it
0:20:05	so that we come to the fun part
0:20:07	thank you very much
0:20:09	a four
0:20:13	i
0:20:14	i your questions uh uh and uh i figured out who you who we want to address your questions to
0:20:20	um
0:20:21	would like to go for
0:20:23	you could step up to the microphone are you could just raise your hand and
0:20:26	she
0:20:36	oh
0:20:42	one of the challenges that you pointed out it is uh
0:20:45	again gain again and found in all these applications
0:20:48	is this an and you can't
0:20:50	a he has been there for a lot of time
0:20:53	so
0:20:54	is a yeah and just and is if you don to to know what in the future we can
0:20:59	at least three part of these K
0:21:01	some of things that the
0:21:02	such compute but
0:21:04	so in the you models
0:21:05	in the middle
0:21:06	is a a a do a to sort of these is month again
0:21:10	can have a you about yet
0:21:14	is that are just anybody in any of them because is a a a a i think you calling problem
0:21:19	when users in a loop first semantic
0:21:26	a what but the or or at up and to to do that the uh in in in many possible
0:21:30	way so uh uh uh not a uh a a in general uh what what they be a a a
0:21:35	can be very in uh use of for the use uh is not too
0:21:39	uh a single user in the loop but uh uh but
0:21:42	the source show yeah the the the social show the the possibility of exploiting or the information contained it a
0:21:48	social network is is a is a very problem arising this P
0:21:52	um there are up then so of course a the big the big probably used these out to get the
0:21:57	bills they them because the they that are not public of a
0:22:01	hmmm
0:22:02	a problems connected to the privacy of the the the so you can get the image of the like form
0:22:08	but this the there is a lot of information for example the possibility of using dogs uh
0:22:13	or or uh uh uh a site like a a we keep you get for example that that would be
0:22:17	a relationship between feedings so uh and and all
0:22:20	kind of information on that can be used at that
0:22:23	in the statistical together stays the doing a each of the knowledge about the a about the B D a
0:22:27	in general that and and call them
0:22:31	you want to
0:22:33	is
0:22:34	is anybody used mechanical turk to uh
0:22:36	do any multimedia processing
0:22:41	oh so that's one way to put humans in the loop then
0:22:44	i think i seen some uh some work in that direction
0:22:48	other the questions are common
0:22:55	right
0:23:01	you see significant differences
0:23:03	and the quality of
0:23:04	lot is just blessed double the audible differences and haptic decoding
0:23:08	the we normal and line users
0:23:11	as a blind user that presumably using the
0:23:14	sense a lot more
0:23:16	and probably has no of first get used a haptic interfaces are a balance as the also that is as
0:23:21	option
0:23:23	yeah
0:23:24	a a perfectly ripe there's lots of studies is that sure if
0:23:27	but you know i thought up but one point for instance only to a loose their their side
0:23:32	and so the first of the uh uh of a completely separate room or adaptation process
0:23:37	and a rely more than on your haptic feedback for instance one gating
0:23:42	and space since or or or you know interacting with with a
0:23:45	and of course i think we we can see that with our work it's now with as they grow up
0:23:48	with these touch display and to
0:23:51	and the can you have already haptic interfaces that allow you to
0:23:54	since for speed back by pensions a set on
0:23:57	of of course when you grow up with that you can i have a very different at at you to
0:24:00	put these types of signal
0:24:02	for some of us and i'm not sure how many of you are in the room i have ever experienced
0:24:06	haptic feedback
0:24:07	to be not to many because we or
0:24:09	quite similar
0:24:11	but to the man is a natural to have that in in the can work for int
0:24:15	so like
0:24:16	i guess is a was like this next generation is much well much better prepared to do with these things
0:24:21	and then we are
0:24:27	and the other uh
0:24:28	a more questions
0:24:36	so i
0:24:37	have one
0:24:38	um
0:24:39	so what is the um
0:24:41	state state direction of work in a multimodal
0:24:44	perception
0:24:46	and its use in multimedia application
0:24:53	it maybe i can say look at home
0:24:56	to in the sense of what you be sure and and haptic
0:24:59	and
0:25:00	and to um
0:25:01	because of the what's been known at least in the cycle cool
0:25:04	a have the six were and it is you that if you have the sense of touch also being the
0:25:08	true
0:25:09	see
0:25:10	but the degree of
0:25:12	um
0:25:13	i a few of to get the S
0:25:14	that's one thing
0:25:16	i a high degree of presence
0:25:18	so you from a press in a virtual environment environment when the in a real environment
0:25:22	but then there's also a cross modal effects
0:25:26	but can exploit
0:25:27	yeah
0:25:28	is a to emissions been have a lot some the be input
0:25:33	and the situation the maybe you men have realise for instance on the the sense of touch
0:25:38	this really depends even with by an application on the specific state in
0:25:42	just to an idea when you for instance approach
0:25:45	a virtual environment with a virtual and if vector
0:25:48	assume of
0:25:50	oh have a tracking to of its the surface is something the use does
0:25:53	you or
0:25:55	as can touch with this sir first
0:25:57	and the bush or a few bags and is not a member them and then
0:26:00	and to experience the roughness and the you know the L as to city and and and and these kinds
0:26:06	of characteristics of the surface
0:26:08	takes a and if you would ask the you how you experience that environment no he would say normal i'm
0:26:13	have lee experience
0:26:14	think get so even with an application that can dramatically change from one time instant
0:26:19	um um to another
0:26:21	the as well so what score and um multimodal integration or perceptual learning
0:26:26	were you basically learn to few
0:26:28	modalities at different levels
0:26:30	that's a level um
0:26:32	since scene type of fusion but is happening
0:26:35	but then does all so at the decision level
0:26:38	uh and the kind of fusion
0:26:39	but of this
0:26:40	this particular a
0:26:42	let's a observation is is is a and on the brochure sure but i have a contradicting stimulus in to
0:26:47	have text
0:26:48	and then it's very interesting how the plane actually decides what is really than the perception you have
0:26:53	this is something that is the longer research or so in the new technology
0:26:57	uh a main to find out
0:26:59	it i'm the which seem to ancient which of the different modalities is really dominant and that might hold where
0:27:04	or combined with all others
0:27:07	think
0:27:13	the questions
0:27:17	does anyone working in multimedia networking
0:27:23	no nobody's transmitting a media over networks
0:27:28	oh now cloud computing anything
0:27:34	okay so no questions for every cal
0:27:36	i have
0:27:39	uh i i have another question
0:27:41	um
0:27:42	i
0:27:43	wondering at that
0:27:44	a what's on the horizon in terms of
0:27:47	a
0:27:48	sensor is and also rendering
0:27:51	devices
0:27:52	that we ought to be aware of
0:27:57	uh
0:28:03	a a in sensors are really there's been a lot of interest on compressed sensing recently
0:28:08	uh
0:28:09	compressed sensing a lot
0:28:10	a signals using random projections so that's a i mean
0:28:14	a a simple and powerful way of representing signals
0:28:17	so that's uh potentially interesting in the all sensor networks for example where
0:28:23	or sensors are very power constraint you can take many computation
0:28:27	i
0:28:27	i be able to perform the compression on the sensor because you don't have
0:28:31	that's
0:28:31	a a computational power
0:28:33	so in that area for example compressed sensing might help
0:28:37	a
0:28:38	construct a to be so can most for example
0:28:41	that's it's are much uh easier to handle
0:28:43	in terms of the processing than conventional cameras much less
0:28:46	samples
0:28:47	so much less memory computational requirements
0:28:50	and so on
0:28:52	and rendering
0:28:53	anything
0:28:58	the where new rendering devices
0:29:06	okay any any um
0:29:07	final don't questions
0:29:09	is your opportunity
0:29:14	i two so we've got a for thirty minutes uh a i hope that's uh and of some interest to
0:29:18	you uh thanks very much for and

Trends in Multimedia Signal Processing

Expert Sessions

Přednášející: Philip A. Chou, Francesco De Natale, Eckehard Steinbach, Enrico Magli, Autoři: Philip A. Chou, Francesco De Natale, Eckehard Steinbach, Enrico Magli