USPatent applicationPatented

Apparatus and method for abstracting motion picture shape descriptor including statistical characteristic of still picture shape descriptor, and video indexing system and method using the same

Granted 27 Oct 2009 · 3 office actions

Life of the application

12 dated events
⤢ drag to zoom20022004200620082010201220142016201820202022ProsecutionOwnershipTerm & fees
ProsecutionOwnershipTerm & feeshover for detail · click to open

Abstract

An apparatus and method for abstracting motion picture shape descriptor including statistical characteristics of still picture shape descriptor, and video indexing system and method using the same. The video indexing system includes: Segmenting means for segmenting video; Abstracting means for abstracting motion picture shape descriptor information from the segmented video information; and Storing means for storing the motion picture shape descriptor information as metadata.

Description

6 parts
›TECHNICAL FIELD

The present invention relates to an apparatus and method for abstracting motion picture shape descriptors having statistical characteristics of still picture shape descriptors, a video indexing apparatus using the motion picture shape descriptor abstracting apparatus and method, and a computer-readable recording medium for recording a program that implements the motion picture shape descriptor abstracting method.

›BACKGROUND ART

Increasing amount of video and audio data calls for technologies for retrieving and managing the data efficiently. One of these technologies is a multimedia indexing technique for abstracting indexing information representing multimedia data to be used for data retrieval and searching.

Currently, with respect to a still picture, color histograms, shape descriptors and/or texture descriptors are used to abstract indexing information representing multimedia data, and for audio data, spectrum descriptors are used. With respect to a motion picture, motion information descriptors using motion vectors and/or orbit descriptors of objects are used. However, the descriptors of the conventional technologies are not those descriptors used to dynamically index shape information of objects within a video.

In addition, as one dynamic. indexing method for indexing the dynamic change of shape data, there is a method indexing the shape information of an object from the entire still pictures that compose a motion picture or from some representative still pictures by using the conventional still picture shape information indexing method. However, this method has a shortcoming that the data storing and retrieving efficiency is poor, because the amount of indexing information is increased, as the number of still pictures used for abstracting shape data is increased.

›DISCLOSURE OF INVENTION

It is, therefore, an object of the present invention to provide an apparatus and method for abstracting motion picture shape descriptors by abstracting still picture shape descriptors from the still pictures of an object that compose a motion picture and abstracting motion picture shape descriptors having statistical characteristics from the abstracted still picture shape descriptors to use them as video indexing information, a video indexing system using the motion picture shape descriptor abstracting apparatus and method, and a computer-readable recording medium for recording a program that implements the motion picture shape descriptor abstracting method.

In accordance with one aspect of the present invention, there is provided a system for retrieving motion picture, comprising: a motion picture segmentation means for segmenting motion picture temporally; a motion picture shape descriptor abstracting means for abstracting a motion picture shape descriptor from the segmented motion picture data; and a motion picture metadata storing means for storing the motion picture shape descriptor as metadata.

›BRIEF DESCRIPTION OF DRAWINGS

The above and other objects and features of the present invention will become apparent from the following description of the preferred embodiments given in conjunction with the accompanying drawings, in which:

FIG. 1 is a block diagram showing a motion picture shape descriptor apparatus and a motion picture retrieving system in accordance with an embodiment of the present invention;

FIG. 2 is a block diagram illustrating the motion picture shape descriptor abstracter of FIG. 1 in accordance with the embodiment of the present invention;

FIG. 3 is a table showing the metadata stored in a motion picture metadata database for storing motion picture shape descriptors in accordance with the embodiment of the present invention; and

FIG. 4 is a flow chart describing a method for abstracting motion picture shape descriptors in accordance with the embodiment of the present invention.

›BEST MODE FOR CARRYING OUT THE INVENTION · 1 of 2

Generally, shape descriptors of objects for a still picture include outline-based shape descriptors and region-based shape descriptors. The present invention suggests ‘a motion picture shape descriptor,’ which refers to a descriptor obtained by abstracting shape descriptors, including outline-based shape descriptors or region-based shape descriptors, from the respective still pictures of objects composing a motion picture, and processing the abstracted shape descriptors statistically. The statistically processed motion picture shape descriptors, i.e., statistical characteristic descriptors, have moment characteristics, such as mean and variance.

Following is a process for abstracting motion picture shape descriptors in a statistical shape vector descriptor abstracter.

The shape sequence of an input object is expressed as SS={s 1 , s 2 , s 3 , . . . , s n }. Here, s m denotes an m th shape. A sequence of still picture shape descriptor SD={sd 1 , sd 2 , sd 3 , . . . , sd n } is obtained with respect to each shape from the above shape sequence by using the conventional still picture shape descriptors, e.g., region-based ones or outline-based ones. Here, sd m is a still picture shape descriptor abstracted from an m th shape s m . The still picture shape descriptor sd m is generally expressed as an equation in the form of a vector, i.e., Equation 1 below.

sd m ={sd m (1), sd m (2), sd m (3), . . . , sd m ( l )}  Eq. 1

wherein l denotes the number of elements that form the vector, and sd m (p) represents a p th element.

The present invention forms a motion picture shape descriptor by using the sequence SD of the still picture shape descriptor and abstracting four shape descriptors (1) to (4), enumerated below.

(1) Mean Shape Descriptor

Mean shape descriptor sd av ={sd av ( 1 ), sd av ( 2 ), sd av ( 3 ), . . . , sd av (l)} is abstracted as follows. An m th element sd av (m) is the mean value of the m th element of each of n number of shape descriptors that forms SD={sd 1 , sd 2 , sd 3 , . . . , sdn}. It can be obtained based on Equation 2.

sd av ( m )=(Σ i=l to n sd i ( m ))/ n   Eq. 2

(2) Variance Shape Descriptor

The variance shape descriptor sd var ={sd var (1), sd var (2), sd var (3), . . . , sd var (l)} is abstracted as follows. That is, an m th element sd var (m) is a variance value of the m th element of each of n number of shape descriptors that form SD={sd 1 , sd 2 , sd 3 , . . . , sdn}. It can be obtained based on Equation 3.

sd var ( m )=(Σ i=l to n ( sd i ( m )− sd av ( m )) 2 )/ n /( n− 1)  Eq. 3

(3) Standard Deviation Shape Descriptor

The standard deviation shape descriptor sd std ={sd std (1), sd std (2), sd std (3), . . . , sd std (l)} is abstracted as follows. That is, an m th element sd std (m) is a standard deviation value of the m th element of each of n number of shape descriptors that form SD={sd 1 , sd 2 , sd 3 , . . . , sdn}. It can be obtained based on Equation 4.

sd std ( m ) =sqrt (Σ i=l to n ( sd i ( m )− sd av ( m ))2)/( n− 1)  Eq. 4

(4) Differential Shape Descriptor

The differential shape descriptor shows the change of two consecutive shape descriptors in a shape descriptor sequence. The differential shape descriptor sequence DSD={dsd 1 , dsd 2 , dsd 3 , . . . , dsd n−1 } can be obtained from the shape descriptor SD={sd 1 , sd 2 , sd 3 , . . . , sdn} based on Equation 5.

dsd r =( sd r+1 *P r+1 )( sd r *p r )  Eq. 5

wherein r is in the range of 0<r<n, and p r denotes a weight of an r th shape descriptor sd r , which can be obtained from a time rate of a shape represented by a shape descriptor occupying in the entire shape sequence.

The mean shape descriptor, variance shape descriptor and standard deviation shape descriptor, i.e., (1), (2) and (3), are obtained from the differential shape descriptor sequence DSD={dsd 1 , dsd 2 , dsd 3 , . . . , dsd n−1 } and used for abstracting motion picture shape descriptors.

The motion picture shape descriptors, suggested in the present invention can use the above shape descriptors alone or a combination thereof. The motion picture shape descriptors abstracted by using a combination of the shape descriptors can be expressed as:

CSSD={cssd 1 , cssd 2 , cssd i , . . . , cssd l }.

wherein cssd 1 is one of motion picture shape descriptors suggested in the present invention.

If a still picture shape descriptor which is irrespective of the change in size and rotation is applied, a motion picture shape descriptor also irrespective of the change in size and rotation is obtained.

This method of abstracting a statistically processed motion picture shape descriptor can be used with respect to other still picture descriptors, such as still picture texture descriptor, other than the shape descriptors used in the embodiment of the present invention. Therefore, the technology of the present invention has an advantage that it can be generalized.

Other objects and aspects of the invention will become apparent from the following description of the embodiments with reference to the accompanying drawings, which is set forth hereinafter.

FIG. 1 is a block diagram showing a motion picture shape descriptor apparatus and a motion picture retrieving system in accordance with | an embodiment of the present invention.

As described in FIG. 1 , the motion picture retrieving system includes: a first motion picture shape descriptor abstracting unit 130 , a motion picture retrieving device 110 , a motion picture database (DB) 120 and a motion picture shape descriptor metadata DB 150 . The motion picture retrieving device 110 includes a second motion picture shape descriptor abstracting unit 130 a , a motion picture shape descriptor similarity computing unit 111 and a distance-based classification unit 112 .

Hereinafter, the operation of each element will be described.

When segmented motion picture 120 is inputted by a user, the motion picture shape descriptors for the segmented motion picture 120 are abstracted. The abstracted motion picture shape descriptors are inputted to the motion picture shape descriptor similarity computing unit of the motion picture retrieving device 110 .

›BEST MODE FOR CARRYING OUT THE INVENTION · 2 of 2

The motion picture stored in the motion picture DB 120 for storing motion pictures is inputted to the second motion picture shape descriptor abstracting unit 130 a in the motion picture retrieving device 110 . Then, the information outputted from the second motion picture shape descriptor abstracting unit 130 a is stored in the motion picture shape descriptor metadata DB 150 in the form of metadata. The motion picture shape descriptor similarity computing unit 111 calculates the difference (i.e., similarity) between the motion picture shape descriptors outputted from the first motion picture shape descriptor abstracting unit 130 and the motion picture shape descriptors in the motion picture shape descriptor metadata DB 150 . To calculate the similarity (i.e., distance), a method using Euclidian distance which measures the distance between two vectors or a method using the sum of absolute difference is used. The distance-based classification unit 112 sorts out the calculated distance information in the order of distances from close to far, abstracts corresponding metadata information from the motion picture shape descriptor metadata DB 150 , and outputs the abstracted similar motion picture information 140 to the user.

FIG. 2 is a block diagram illustrating the motion picture shape descriptor abstracter of FIG. 1 in accordance with the embodiment of the present invention. As illustrated in the drawing, the motion picture shape descriptor abstracting unit 230 of the present invention includes: a motion picture segmentation unit 210 , a motion picture shape descriptor abstracting unit 230 and a motion picture metadata DB 250 . The motion picture shape descriptor abstracting unit 230 includes a shape abstracter 231 , a shape vector descriptor abstracter 233 and a statistical shape vector descriptor abstracter 235 .

Hereinafter, the operation of each element will be described. First, a motion picture 200 is inputted to the motion picture segmentation unit 210 and segmented temporally. The temporally segmented motion picture 200 is inputted to the shape abstracter 231 , which then outputs shape information motion picture 232 , corresponding to one object. The shape information of each still picture of the shape information motion picture 232 is inputted to the shape vector descriptor abstracter 233 , which outputs a shape vector descriptor sequence 234 .

The shape vector descriptor sequence 234 outputted from the shape vector descriptor abstracter 233 is inputted to the statistical shape vector descriptor abstracter 235 . The statistical shape vector descriptor abstracter 235 outputs a motion picture shape descriptor 240 eventually, by using each or a combination of the Equations 1 through 5, each of which corresponds to the above enumerated (1) mean shape descriptor, (2) variance shape descriptor, (3) standard deviation shape descriptor and (4) differential shape descriptor. The motion picture shape descriptor 240 is stored in the motion picture metadata DB 250 for storing motion picture metadata.

FIG. 3 is a table showing the metadata stored in a motion picture metadata database for storing motion picture shape descriptors in accordance with the embodiment of the present invention. The metadata are classified based on motion picture shape vector descriptor, motion picture title, location of file, and the location of starting time in the original motion picture.

FIG. 4 is a flow chart describing a method for abstracting a motion picture shape descriptor in accordance with the embodiment of the present invention. As shown in the drawing, to abstract a motion picture shape descriptor, at step S 403 , an input motion picture 400 is segmented temporally, and at step S 405 , a shape information of motion picture corresponding to one object is abstracted from the temporally segmented motion picture.

Subsequently, at step S 407 , a shape vector descriptor sequence is abstracted from the abstracted shape information of motion picture. At step S 409 , a motion picture shape descriptor, which is a statistical shape descriptor, is abstracted from the shape vector descriptor sequence. Then, at step S 411 , the abstracted motion picture shape descriptor is stored in the motion picture metadata DB for storing motion picture metadata.

As described above, the technology of the present invention can store the changing shape information of a motion picture object effectively by using a motion picture shape descriptor, and using the stored motion picture information for retrieving motion picture and, further, for video indexing.

While the present invention has been described with respect to certain preferred embodiments, it will be apparent to those skilled in the art that various changes and modifications may be made without departing from the scope of the invention as defined in the following claims.

Claims as granted

14 claims

Log in to read the claims of this application.

Log in to unlock

Classifications

7 codes
IPC · International Patent Classification
Section G — Physics
  • G06F17/30
Section H — Electricity
  • H04N5/76
  • H04N11/02
  • H04N5/91
  • H04N7/12
USPC · US Patent Classification
375/240.8375/240.26

Claim changes

Soon
Coming soonHow the claims changed between publication and grant

See which claims were amended, added or cancelled during examination, with every added and removed word marked.

AmendedAddedCancelledUnchanged

The published claims of this application are not paired with the granted ones in what we hold.

File wrapper

⤢ drag to zoom20032004200520062007200820092010USPTOApplicantNon-final rejectionFinal rejectionNotice of allowance
USPTOApplicanthover for detail · click to open
Pendency
7.1 y
2,587 days filing → grant
Office actions
3
non-final + final
Responses
4
no RCE
Examiner
David Czekaj
art unit 2621 · TC 2600
Citations: 8 back · 1 forward

See the full prosecution history — every USPTO and applicant action on this file, in order.

Log in to unlock

Documents

Log in to open the documents of this file: the application as filed, every office action and response, the notice of allowance.

Log in to unlock

Chain of title

⤢ drag to zoom2004200620082010201220142016201820202022Owner 1
Titlehover for detail · click to open

See the full assignment history — every owner this patent has passed through, with recordation dates and reel/frame numbers.

Log in to unlock