What is claimed is:
1. A method for moving pictures experts group (MPEG) variable bit rate (VBR) video traffic classification using a nearest neighbor classifier, comprising:
determining I, P and B frame sizes for an input MPEG VBR video sequence;
computing mean values of said I, P and B frame sizes; and
classifying said input video sequence into one of a plurality of categories based on said computed mean values using a nearest neighbor classifier.
2. The method of claim 1, wherein said classifying step comprises computing a Euclidean distance between said mean values of said I, P and B frame sizes of said input video sequence and mean values of I, P and B frame sizes of a training video sequence.
3. The method of claim 1, wherein said classifying step comprises using a K nearest neighbor classifier.
4. The method of claim 3, wherein said classifying step comprises using a K nearest neighbor classifier with K3.
5. The method of claim 2, wherein said computing step comprises determining said training sequence based on in-product and out-of-product training.
6. The method of claim 1, wherein said classifying step comprises providing as said categories first and second categories; and
classifying said input video sequence as one of said first and second categories.
7. The method of claim 6, wherein said providing step comprises providing as said first and second categories movies and sports categories.
8. A computer-readable medium carrying one or more sequences of one or more instructions for moving pictures experts group (MPEG) variable bit rate (VBR) video traffic classification using a nearest neighbor classifier, the one or more sequences of one or more instructions including instructions which, when executed by one or more processors, cause the one or more processors to perform the steps recited in any one of claims 1-7.
9. A communications system configured to include moving pictures experts group (MPEG) variable bit rate (VBR) video traffic classification using a nearest neighbor classifier, comprising:
a device configured to determine I, P and B frame sizes for an input MPEG VBR video sequence;
said device configured to compute mean values of said I, P and B frame sizes; and
said device configured to classify said input video sequence into one of a plurality of categories based on said computed mean values using a nearest neighbor classifier.
10. The system of claim 9, wherein said nearest neighbor classifier is configured to compute a Euclidean distance between said mean values of said I, P and B frame sizes of said input video sequence and mean values of I, P and B frame sizes of a training video sequence.
11. The system of claim 9, wherein said nearest neighbor classifier comprises a K nearest neighbor classifier.
12. The system of claim 11, wherein K3.
13. The system of claim 10, wherein said training sequence is determined based on in-product and out-of-product training.
14. The system of claim 9, wherein said categories comprise first and second categories; and
said device is configured to classify said input video sequence as one of said first and second categories.
15. The system of claim 14, wherein said first and second categories comprise movies and sports categories.
16. A communications system for moving pictures experts group (MPEG) variable bit rate (VBR) video traffic classification using a nearest neighbor classifier, comprising:
means for determining I, P and B frame sizes for an input MPEG VBR video sequence;
means for computing mean values of said I, P and B frame sizes; and
means for classifying said input video sequence into one of a plurality of categories based on said computed mean values using a nearest neighbor classifier.
17. A communications device configured to include moving pictures experts group (MPEG) variable bit rate (VBR) video traffic classification using a nearest neighbor classifier, comprising:
said device configured to determine I, P and B frame sizes for an input MPEG VBR video sequence;
said device configured to compute mean values of said I, P and B frame sizes; and
said device configured to classify said input video sequence into one of a plurality of categories based on said computed mean values using a nearest neighbor classifier.
18. The device of claim 17, wherein said nearest neighbor classifier is configured to compute a Euclidean distance between said mean values of said I, P and B frame sizes of said input video sequence and mean values of I, P and B frame sizes of a training video sequence.
19. The device of claim 17, wherein said nearest neighbor classifier comprises a K nearest neighbor classifier.
20. The device of claim 19, wherein K3.
21. The device of claim 18, wherein said training sequence is determined based on in-product and out-of-product training.
22. The device of claim 17, wherein said categories comprise first and second categories; and
said device is configured to classify said input video sequence as one of said first and second categories.
23. The device of claim 22, wherein said first and second categories comprise movies and sports categories.
24. A communications apparatus for moving pictures experts group (MPEG) variable bit rate (VBR) video traffic classification using a nearest neighbor classifier, comprising:
means for determining I, P and B frame sizes for an input MPEG VBR video sequence;
means for computing mean values of said I, P and B frame sizes; and
means for classifying said input video sequence into one of a plurality of categories based on said computed mean values using a nearest neighbor classifier.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. Osteosynthesis device of a long bone (11) of a leg, comprising an intramedullary nail (12, 112) adapted for being inserted in a hole (14) formed in the medullary canal of the bone (11) between a bottom and an entrance (16), and comprising a stiff and elongated body (13, 113), which is extended along a predetermined axis (X) between a distal end (18a, 118a) adapted for facing the bottom of the hole (14), and an opposite proximal end (18b, 118b) adapted for facing the entrance (16) of the hole (14), a plurality of locking elements (15, 115) inserted in corresponding transversal holes (17, 117) formed in the elongated body (13, 113) of the nail (12, 112), and an axial stopping element (20) adapted for being constrained to the bone at the entrance (16) of the hole (14) and constituting an abutment for the proximal end (18b, 118b) of the nail (12, 112), characterised in that the axial stopping element (20) is a body having a substantially cup shape, which is defined by a mantle (22), a bottom (21) forming a stopping abutment for the nail (12), and a free edge (25), which form an inner cavity (35), wherein the mantle (22) of the cup body carries an outer threads (24) suitable for being screwed into the bone, and that said locking elements are shape memory elements (115).
2. Osteosynthesis device according to claim 1, characterised in that the mantle (22) of the cup body comprises a cylindrical portion (23), occupying a prevailing portion of the cup body starting from the bottom (21) and carrying said outer threads (24) and a substantially smooth conical portion (30) with self-penetrating function into the bone, occupying a remaining portion towards the free edge (25) of the cup body.
3. Osteosynthesis device according to claim 2, characterised in that the cup body has predetermined height (L) and outer diameter (D), wherein the height (L) has a value substantially equal to or slightly larger than the outer diameter (D).
4. Osteosynthesis device according to claim 1, characterised in that the inner cavity (35) occupies a prevailing portion of the cup body.
5. Osteosynthesis device according to claim 1, characterised in that the axial stopping element (20) comprises a through hole (41) for housing a guide wire.
6. Osteosynthesis device according to claim 1, characterised in that it comprises three locking elements (115) in a portion of the nail facing the proximal end (118b).
7. Osteosynthesis device according to claim 1, characterised in that the shape memory locking elements (115) are inserts structurally independent from the elongated body (113).
8. Osteosynthesis device according to claim 1, characterised in that the shape memory locking elements (115) have a fork-like shape.
9. Osteosynthesis device according to claim 1, characterised in that the shape memory locking elements (115) are arranged as offset with one another along the elongated body (113).
10. Osteosynthesis device according to claim 1, characterised in that the elongated body (113) comprises an inner stem and a sheathing tubular jacket, wherein the stem is inserted, and that both the proximal end of the inner stem and the proximal end of the jacket are housed in the inner cavity (35) of the axial stopping element (20).